Testimonial
Predictive Modelling Course
The course content is exhaustive and got good exposure to SAS n SPSS.

Predictive modeling
Its glad to express about complete analytics.great learning environment, we can lean Advance statistics, predictive, modeling forecasting tech by SAS

VBA and SAS
I have undergone for SAS and VBA courses.The coaching was excellent and got very good exposure in implementing those in Real time

Predictive Modelling Course
I have taken this course,the course was excellent. And I got exposure to SAS,SPSS and Excel also.

Excellent Predictive modeling course
the predictive modeling course was very useful for me to get a job, I am very much happy with the course. Thanks to Complete Analytics.

Base SAS, SAS Eminer
I have undergone training on Base SAS and SAS Eminer where i gained good knowledge and placed in very good company, I would like to join for SAS BI and Di as well, please let me know the schedule

Predictive Modeling and SAS
I would like to thank CA and the teachers, who helped me transforming my career from a marketing guy to a BA in Tech Mahindra. The Course structure and the methodology of teaching having a real life application, which enable the student to a forerunner in Analytics.

Good personal attention
I got trained on SAS and Predictive Modelling. Course is exhaustive. What I like the most is the personal attention given to each student based on one's grasping & understanding capabilities.

Excel and vba
It was a nice learning experience ,learned in and out about excel and vba .I wish to thank my teacher and the institute ,for giving me a nice learning opp0rtunity.

SAS
This course was good and well structured.All the topics were covered mentioned in the course structure provided.The trainer was clear in explaining the topics and we also had discussions if we had any doubts.I would recommend this course for anyone who wants to get stared with SAS as its an excellent and value for money course.

Good Institute
Complete Analytics is very good institue where in we will get indepth knowlege of Predictive Anaytics,This is est recommandable instiue in Bangalore

About Complete Analytics
It gave me the best knowledge and resorces and equipped me to face the challenges in the industry. It is one of the best centre for Predictive Modelling in Bangalore.

Research Analyst.
Very good learning experience. The kind of example, techniques that were thought in Predictive Modeling are really helpful in realtime.The course is well structured to bridge the gap and match the industry expectations. Perfect for peoplewho are interested in Analytics.

Predictive Analytics Course
I have taken predictive analytics course. It was very nice learning experience, where will get the indepth knowledge of the analytics.And also got good exposure to SAS.Personal attention was given to each student.Thanks to Ravi and complete Analytics.

Feedback
It was awesome learning experience on predictive modeling,after completing the course i have gained confidence to work individually on predictive modeling. millions of thanks to Complete Analytics.

Feedback
It was awesome learning experience on predictive modeling,after completing the course i have gained confidence to work individually on predictive modeling. millions of thanks to Complete Analytics.

Predictive Modelling Course
Course is fantastic,trainer is very knowledgeable. It helped me improve my analytics quotient. I was taught to implement all types of models both in SPSS and SAS.

Asst Manager
Before I joined this Predictive Modelling training in this institute, I had very basic knowledge of Statistics and SPSS . But after 3 months of training, I feel very confident. The knowledge Ravi has on Statistics is exponential, every concept is explained in a simple layman language. I would really like to thank Ravi and the institue for all the knowledge sharing.

Predictive Modelling
I have taken Predictive modelling classes and it was very helpful in my daily work. Regards, Sanchit

Predictive Modelling
I am delighted from the learnings from Ravis predictive modelling classes. It gave me loads of learnings to take home and will help in my future career. He is a good person as well. Cleared all my doubts without any hesitation.

Predictive Modelling
Very Good institute to learn analytics,you not only learn about theory most importantantly about the practical knowledge. Need to mention about Teaching staff they are industry experts and very supportive at any point of time, that will encourage a lot learn for any beginer.... Thanks a lot Complete Analytics

Predictive and SAS
I have completed the Predictive Modelling course from Complete Analytics. I have worked on certain statistical concepts but this course helped me to refresh my statistical knowledge and also gave me practical exposure to tools. Apart from that I also learned some new techniques which were very helpful and useful for my growth in the analytic field.

Sas & Predictive Modeling
Perfect for beginners without prior knowledge of SAS or Modeling . SAS & Predictive Modeling Classes are Excellent and lot of effort is put in by the faculty to make us Industry Ready . In one word FANTASTIC !!

SAS + Predictive Modelling
It has added a lot of value to my portfolio which will help me to get through the interviews.

SAS AND predective modeling
HI, i want to share my learning experience with complete Analytics. approach of teachers are very positive here.I have a good job after completing my course over here. i do highly recommended to all who are seeking this kind of course can join this instiude.

SAS
The best place to learn with real time data.

SAS & Predictive Modelling
It was great learning SAS & PM in complete analytics. it really helped me in my career mapping. The course content is very structured with excellent trainer at the institute. The best part is you can keep in touch with your trainer post your completion of course...

Predictivemodelling
Itwas extremely useful. The syatematic and friendly approach can make learning really easy. I learnt a lot.

Predictivemodelling
Best predictive modelling class I have ever seen. Best faculty, simplest way of explaining concepts,good examples, class room excersises are very usefull and to the point..... overall best place to kick start your analytical journey

Predictive Modelling
Learning PM course is very usefulto me,thewayof explaining of the techniques are very simple and easy way... Well the practical sessions helps you a lot to understand in asimple and good way.

Predictive Modeling
Basics were explained very clearly. Problems were solved well. Excellent

Predictive Modeling
The classes focused on basics along with practical exposure. It definitely helps in preparing for interviews and entering to analytics world. Thanks!

Analytics
One of the best place to learn Anlytics. I can strongly suggest to people who would like to learn Analytics this is the best place.

Best place to learn Predictive Modelling & SAS
The faculties at Complete Analytics are knowledgeable, systematic, supporting and friendlier, and that makes novice like me comfortable learning difficult statistics modelling with real time industry related examples.Thanks to Ravi for making Statistical Predictive Modelling techniques simple. Thanks to Veeran for making SAS tool easy.

SAS Training
Complete analytics is very helpful to the candidates who want to make a career in analytics. the faculty in complete analytics make the concepts very simple to understand and develop interest in the same. It is highly recommended institute.

SAS Prog
First of all, I want to say "its work paying". Actually I wanted to join in some other institution and I joined here with half-minded. But I felt very comfortable as soon as my training started. The way they trained was good and I got clarifications for almost all of my questions. All trainers are very knowledgeable.

SAS Prog
I joined for SAS.All trainer are very friendly, comfort to clearing doubts. Not only for learning tool but also guiding interview panel. If you Practice their materials, case studies you will get deep knowledge in SAS.Finally you won’t feel your money is wasted...

SAS
I love this institute mainly on flexibility of Trainers and support. I attended both SAS and Predictive Model... both are really good along with real time examples. Thanks CA Team for all your support!

predictive modelling
I had a very good experience interacting with faculties of the institute.The teaching environment is friendly and interactive,the best thing is that a student can come freely even after his course is complete and freely ask doubts and materials.

Predictive Modelling Training
Just did my training in Predictive Modelling with Complete Analytics. Wonderful tutor with indepth knowledge and real professional experience. So much better than going through a book and wondering what it means. Strongly recommend this training.

SAS & Pred Modelling
Excellent learning source for building fundamentals. It all starts at a very basic level and takes you to the advanced level with practical examples. Course content is very exhaustive and also helps you learning by your own.I highly recommend the institute for learning Analytics.

Feedback
It was an knowledge development course,where we were guided in the right direction in the analytical space where i want to make my career. And to be frank Complete Analytics toght Predictive Analytics in a very manner. And also it really great to have Ravi as our trainer. Best, Shravan

Predictive Modelling & SAS
Just awesome!!!!... The best institute for Predictive modelling and SAS, helped in curving my future towards business analytics domain. Institute have a woderful context, method of teaching, fabulous & too friendly instructors. Timely assignments, tests and live projects helped in pioneering analytics.

SAS
I have done SAS Module here. It helped me to learn SAS in detail.The training here is very good.There will be very good interactive sessions with the faculty.The case study which they will give are very worth. If you follow the class and do the case study you will be getting a good overview in SAS.

SAS
good

BASE SAS and Advanced SAS
It was great experience ,the faculty was very friendly , and i got good exposure in base sas and advanced sas.thanks to Gouda sir

SAS & Predictive Modelling
Complete Analysis is one of the best thing happened to me.Faculty is exceptionally good here with deep knowledge of the domain.I would strongly recommend this institute if you want to make your career in analytics Industry

Predictive Modelling Course
I would like to thank Ravi and entire Complete Analytics team for sharing their knowledge and industry experience. It has not only helped to understand the statistical concepts but also the entire classroom session has enabled me to prepare myself to take up challenges in Analytical industry where I can showcase my knowledge and experience. The faculty and team is very friendly and I must say it is very good place to start your analytical career.

Predictive Modelling Course
The Course helped me gain knowledge in R and modelling techniques and made me confident since I had no background in Statistics. I would like to thank the faculty for great efforts and wish them all the best! Continue doing the great work you are doing!! I would recommend this course to anyone who wants to gain knowledge in statistics.

Predictive Modelling
Good Place to have my concept clear on the basic of stats to Modeling concept, which helped me to develop more on my domain

Advance Analytics with R programming
I have taken Predictive analytics Course It was great learning experience using statistical concepts.

R and Predictive Modelling
The course content is very well designed and all the topics covered in a very understandable way. Myself being new to the statistical world, I felt, Course instructor Ravi, covered the topics in such a way that, any one can understand the concepts easily. I felt, Ravi is having sound knowledge in statistics and very confident in explaining. I am really feel happy for joining the course here, which helped alot in understanding the concepts. I would like to Thank Ravi in this regard!

Predicitive Modeling & Advance Analytics
Thanks Ravi and complete Analytics for enhancing my skills in Analytics. The sessions were good and interactive. It helped me a lot to learn different aspects of Analytics.

Predictive Modeling
Training was good, Class was very informative, Thanks Ravi

SAS Base
Awesome learning environment and good facilitators, worth joining. Ensured continuous support. Looking forward to join for Predictive Modelling.. Complete Analytics Training Institute walks the talk.......

Best Place available in Bangalore to learn Analyti
Complete Analytics is the best place to learn Predictive Modeling in Bangalore. Ravi (Tutor) is one of the best teachers I ever had in my life. He was able to clarify almost all the doubts students had during the session. He has in-depth knowledge in Statistics and has very good knowledge in almost all the Analytics tools currently in the market. He gives personal attention to all the students in the class and makes sure everyone is clear about all the topics covered in the class. He is a very confident, kind and motivating person and is a role model for all his students. - Vimal Prabhakaran Business Analyst - IBM

SAS Base & Advance
SAS Training program at Complete Analytics exceeded my expectations, the faculties always taught to the point and gave great insights relating to the real life examples used in Industries. I could network with fellow students from diverse professional backgrounds. The support team and staff at CA are very helpful

SAS
One of the BEST training institute!!! I would recommend this institute to join if you are looking to learn SAS.

VBA
I have taken MS Office VBA course from Complete Analytics . The entire course is very beneficial for career and the way of teaching of faculties are really awesome .finally I would like to say its a good institute.

SAS
I have done the Base/Advanced SAS module with Complete Analytics . I believe that they are the best when it comes to giving you an in-depth view of the subject. They also assist you in getting your SAS certification cleared - something that helps you get into the analytics industry especially if you are fresher.. I would recommend Complete Analytics to any one wanting to get an introduction to the world of analytics.

Bhanu Nallam
My search for VBA training institute was ended up with Complete Analytics. I have joined for advanced excel with VBA. The training session are really good and interactive and I strongly recommend to any one who has quest to learn VBA and advanced Excel.

Base SAS Course
Base-SAS course by Complete Analytics was a good learning experience with good amount of exercises and case studies. Will come back for other advanced courses.

Base SAS Course
Base-SAS course by Complete Analytics was a good learning experience with good amount of exercises and case studies. Will come back for other advanced courses.

Excellent course content and sincere trainer
The trainer spares no effort to expose students not only to tools such as R and SAS, but also to basic and advanced statistics before explaining modelling concepts. Additionally, excellent material and numerous dats sets is provided as also ready executable code is made available for each module both in R as well on SAS !. I believe that the above approach coupled with the simple way even complex ideas are conveyed immensely helps individuals from various backgrounds to gain in confidence to switch to a career in analytics. In conclusion, it is fair to say that this course offers great value for money, and is amongst the best that is out there.

Thanks for Exhaustive Coverage
Ravi is an excellent teacher and passionate Data Scientist. If anybody is having real passion from real predictive modeling I must say He is the guy.. Thanks a lot Ravi for guiding us in right direction

sas progrm, ntt data
The course is so well planned. Instructer so experienced that he makes the learning so interesting. Gives us the right knowledge and insight into the this world of analytics. Enrolling to this course was the best thing ive done for my career. Thanks to RAVI..!!!!!!

SAS BASE AND ADVANCE
Good teaching faculties and treat like a friends. totally good coaching Centre for learning SAS.

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  • About Us  

    Complete Analytics Training Institute aimed at providing world class training in the area of Research Analytics. We train people to think analytically, communicate efficiently, reason logically, and make smarter choices and to solve problems in a structured manner.

    Our Courses invest in you the power to make smarter decisions in every sphere of your life. They empower you with the analytical intelligence that guarantees success in every human endeavor to find out more about how these courses can empower your career of your organization's Future; explore this space and come, partner in this incredible journey with us. A Mid Career professional can use Analytics Training Institute's Courses to refresh his/her skills, apply for the next Promotion or to make an overall career change to one of the fastest growing industries like KPO, IT, Healthcare, etc.,

    At Complete Analytics training Institute, we have been helping in analyzing all kind of statistical data. We can enhance and analyze your data to turn it into information you can act upon to meet your short and long term business objectives. Our team of data analysts uses a wide range of proven data modeling tools and methods which they will draw upon to meet your business needs.

  • Analytical Courses

    What is ANALYTICS?
    The purpose of analytics is to take existing data collected from either a single source or multiple sources and use it to arrive at the optimal decision. Essentially, analytics can be best defined as a science of analysis.
    Commonly, one of the most frequent uses of analytics is in the field of business. Managers or researchers for an analytics company can use various data mining techniques combined with historical patterns to make predictions about the performance of a particular market or business.

    10 most popular analytic tools in business

    • - Business analytics is a fast growing field and there are many tools available in the market to serve the needs of organizations. The range of analytical software goes from relatively simple statistical tools in spreadsheets (ex-MS Excel) to statistical software packages (ex-SAS, SPSS).
    • - To sophisticated Business Intelligence suites (ex-SAS, Oracle, SAP, IBM among the big players).

    What is SAS?
    • - SAS (pronounced "sass", originally Statistical Analysis System) is an integrated system of software products provided by SAS Institute Inc.
    • - Can readily access data from a wide variety of sources, perform data management, and present findings in a variety of report and graph formats. Provides powerful tools for both specialized and enterprise-wide analytical needs.
    • - SAS has an impact on everyone, every day. From the roads you travel and mortgage loans you purchase, to the brand of cereal you eat and cell phone plan you select, SAS plays a role in your daily life.

    SAS Strengths
    Versatile data input and output formats
    SAS provides both SQL and DATA steps to manipulate data:
    • - SQL provides a way of carrying out relational algebra on tables and views
    • - SAS data sets can be indexed for direct access or processed sequentially, without reading all records into memory, which is sometimes much more efficient.

    What is SPSS?
    • - SPSS (Statistical Package for the Social Sciences) is a computer application that provides statistical analysis of data. It allows for in-depth data access and preparation, analytical reporting, graphics and modelling.
    • - Please note that in 2009 SPSS Inc. decided to change their product name from SPSS to Predictive Analytics Software (PASW) More analytical power can be added by using optional PASW (SPSS) modules.
    • - A commercially produced statistical software package that is widely used in the fields of Education and Psychology.

    SPSS Strengths
    • - Easily opens data from other programs such as Excel and SAS.
    • - Variable view screen allows for quick overview of file contents and allows for easy modifications of names, formats, labels, and variable order.
    • - Having all data information in a single file allows sharing files on a project to be very easy.
    • - Point-and-click menus do not require memorizing syntax for majority of procedures.
    • - Many procedures can be expanded beyond the menu options in syntax.
    • - Split-file command allows all output to be replicated for various groups through a single command.
    • - Journal file tracks all commands used for life of program, with good resources to find code accidentally deleted.

  • SAS Training Overview

    This SAS training class covers SAS Base and Advanced Modules.

    • - SAS/BASE
    • - SAS/SQL
    • - SAS/MACROS
    • - SAS/GRAPHS
    • - SAS/STAT
    • - SAS/ACCESS
    • - SAS/ODS


    Introduction
    • - How to Use this Document
    • - Little Bit History About SAS
    • - What is SAS?
    • - Launching SAS
    • - Windows in SAS for Windows
    • - Menus in SAS
    • - Working within SAS
    • - Using the Cursor
    • - Using Icons
    • - Using the Enhanced Editor
    • - Writing a SAS Program: the DATA Step

    Introduction to SAS Programming
    • - Introduction to SAS®
    • - SAS® Software Versions
    • - Using SAS for Windows
    • - System Requirement
    • - Installing SAS® 9.1.3 for MS.Windows,Unix,Linux,Vms,Open/390

    Accessing Data
    • - Introduction
    • - LIST,COLUMN,FORMTTED AND NAMED input to read raw data
    • - Using Various Components of an INPUT Statement
    • - Importing raw data from Excel files, Text files, CSV files, ODBC and Access files Etc... using the import procedure, data step and Import wizard
    • - Set statement to read and combine SAS data sets
    • - Using the merge statement to combine SAS data sets
    • - Appending multiple SAS data sets
    • - Explaining about User created functions and system defined functions
    • - Explaining about Types of functions such as Character, Numeric, statistical or mathematical and date or time functions
    • - Statements and types, global statements and local statements
    • - Using loops for easy manipulations
    • - SQL procedure to create data sets
    • - SQL procedure to query multiple tables

    Creating Data Structures
    • - Introduction
    • - Creating temporary and permanent SAS data sets
    • - Preparing temporary libraries and permanents libraries
    • - Applying conditional assignments and conditional subsets
    • - Using data step statements to export(or write) data to a file
    • - Exporting data to excel and access using the export procedure
    • - Understanding how the data step is compiled and executed
    • - Using data dynamic exchange(DDE) to import excel data
    • - Exporting SAS files to Excel Using DDE.

    Managing Data
    • - Introduction
    • - Modifying variable attributes in the data set
    • - Assignment statement to accumulate variable values across executions of the data step
    • - Using SAS functions to manipulate character data, numeric data, and SAS date and time values
    • - Creating User defined in formats and Formats
    • - Changing SAS default setting using system options, data step options and statement options
    • - Use system defined and user defined formats
    • - Use system defined and user defined in formats
    • - Use SAS functions to convert character data to numeric data and vice versa
    • - Statements and types, global statements and local statements
    • - Processing data using SAS arrays
    • - Sorting observations in a SAS data set
    • - Using SAS utility procedure to investigate SAS data libraries

    Generating Reports
    • - Introduction
    • - Generating reports using the PRINT, MEANS, FREQ, TABULATE, REPORT etc… procedures
    • - Generating HTML, RTF, PDF, EXCEL, TEXT, CSV, and PDF reports using ODS statements
    • - Enhancing reports with options and statements

    Handling Errors
    • - Introduction
    • - Recognizing and correcting syntax and non-syntax errors
    • - Examining and resolving data errors
    • - Program debugging techniques

    SAS Statistics Descriptive Statistics
    • - Introduction statistics
    • - Overview
    • - Data Presentation
    • - Data Characteristics: Descriptive Summary Statistics
    • - Probability: Basic Concepts
    • - Basic Probability Distribution
    • - Sampling & Estimation

    Categorical data Analysis
    • - Introductions
    • - Procedures
    • - Cross tabulations
    • - Frequencies from one way frequencies to N way frequencies

    Hypothesis Testing
    • - T-Test : Testing differences between two means
    • - Random assignment of subjects
    • - Two independent samples : Distribution free tests
    • - One-tailed vs. two tailed tests
    • - Paired t-tests(related samples)

    Hypothesis Testing (More than two groups)
    • - One-way analysis of variance
    • - Analysis of variance : two independent variables
    • - Interpreting significant interactions
    • - N-way factorial designs
    • - Unbalanced designs: Proc GLM

    Regression Analysis
    • - Introduction
    • - Simple regression and multiple regression analysis
    • - Logistic regression
    • - Non-experimental regression
    • - Interpretation about statistics such as (R square, adjusted R square, etc…..)

    Correlation Analysis
    • - Introduction
    • - Simple regression and multiple regression analysis
    • - Logistic regression
    • - Non-experimental regression
    • - Interpretation about statistics such as (R square, adjusted R square, etc…..)

    SAS Macros
    • - Introduction
    • - Creating macro variables
    • - Reusing macro variable
    • - Working with system defined macro variables and user defined macro variables
    • - Converting Global macro variables into local macro variables vice versa
    • - Functions and routines, its different
    • - Introduction to Macro Processing
    • - Defining and Calling Macros
    • - How the Macro Processor Compiles a Macro Definition
    • - How the Macro Processor Executes a Compiled Macro
    • - Summary of Macro Processing
    • - System defined macro options
    • - Creating macro and Reusing macro
    • - Executing a macro program
    • - Passing values to a macro program through macro parameters
    • - Passing values to a macro program through macro parameters
    • - Using conditional statements in macros
    • - Manipulating SAS Base programs to macros
    • - Macro quoting functions
    • - Macro facility error messages and debugging
    • - Using the stored compiled macro facility for saving macro
    • - Arithmetic and logical expressions
    • - Reading external files using macros
    • - Writing SAS files using macros
    • - Stepwise method for writing macro programs
    • - Saving Macros in an Auto call Library
    • - Saving Macros Using the Stored Compiled Macro Facility

    SAS SQL
    • - Introduction to the SQL Procedure
    • - What Is SQL?
    • - What Is the SQL Procedure?
    • - Comparing PROC SQL with the SAS DATA Step
    • - Creating data sets using SQL procedure
    • - Overview of the query window
    • - Retrieving Data from a Single Table
    • - Retrieving Data from Multiple Tables
    • - Creating and Updating Tables and Views
    • - Inserting Rows into Tables
    • - Updating Data Values in a Table
    • - Deleting Rows and Tables
    • - Altering Columns
    • - Creating an Index
    • - Using SQL Procedure Tables in SAS Software
    • - Creating and Using Integrity Constraints in a Table
    • - Using PROC SQL Options to Create and Debug Queries
    • - Improving Query PerformanceHYPERLINK "a001385596.htm"Accessing SAS System Information Using DICTIONARY Tables
    • - Using the Output Delivery System (ODS) with PROC SQL
    • - Performing simple queries
    • - Combine tables using inner join, outer join(outer left join, outer right join, outer full join)
    • - Summarizing groups of data
    • - Sub setting groups of data
    • - Handling missing values
    • - Handling embedded blanks in column names
    • - Using SAS base functions in SQL
    • - Building calculated columns
    • - Reading oracle data tables into SAS by pass through facility
    • - Connecting to Oracle, DB2, SYBASE, EXCEL, ACCESS, ODBC, OSIRIS, REMOTE, SPDE, SPSS, TERADATA, XML, AND XPORT engines etc…. to import data sets
    • - Explaining about conditional statements
    • - Modifying variables using Base Options in SQL
    • - Creating macro variables in SQL

    SAS Graphs
    • - Introduction
    • - Drawing graphs by programming and menu driven
    • - Using colors and images
    • - Language Elements
    • - SAS Data Sets
    • - Using Engines with SAS/GRAPH Software
    • - Running SAS/GRAPH Programs
    • - Procedure Output and the Graphics Output Area
    • - Printing Graphics Output
    • - Storing Graphics Output in SAS Catalogs
    • - Modifying SAS/GRAPH Output
    • - Transporting and Converting Graphics Output
    • - Using SAS/GRAPH Colors and Images
    • - Specifying Colors in SAS/GRAPH Programs
    • - Specifying Images in SAS/GRAPH Programs
    • - GChart
    • - GPlot
    • - Vbar
    • - Hbar
    • - Block bar
    • - Star chart
    • - Pie chart
    • - Histogram
    • - Box plot
    • - Probability plot
    • - Scatter plot (two dimensional and three dimensional)
    • - Surface plot

    SAS ODS
    • - Creating HTML outputs Using ODS
    • - Creating HTML outputs with a Table of Contents
    • - Selecting ODS tables for Display
    • - Excluding ODS tables for Display
    • - Exporting SAS outputs
    • - Preparing PDF,RTF,CSV,XML,HTML files using ODS
    • - Creating an output data set from an ODS tables
    • - Generating outputs in colors
    • - Creating an output data set from sub setting the data
    • - Determining the Names of ODS Tables
    • - Using the TEMPLATE Procedure to Customize Output
    • - Creating HTML Output, Linked Within a Single Analysis
    • - Creating HTML Output, Linked Between Analyses

  • SPSS Syllabus

    Data File Creation and Data Processing.
    • - Create, Edit, and Save SPSS Data File
    • - Delete Data Values and Declare Missing Values
    • - SPSS Data Editor
    • - Label Values for a Variable and Save Data File
    • - Importing & Exporting file from different source

    Data Manipulation.
    • - Merging
    • - Splitting
    • - Selecting Cases
    • - Data Transformation

    Descriptive Statistics.
    • - Mean, Standard Deviation, Histogram, Boxplot, Stemplot, Normality Test, Frequency Table, Bar Chart, Pie Chart
    • - Scatter Plot
    • - Cross Tabulation (Contingency Table), Cluster Bar Chart
    • - Means for Subgroups and Side-by-side Boxplot
    • - Line Chart for Time Series Data

    Inference on One Population.
    • - Confidence Interval Estimate for Population Mean
    • - One Sample t-Test for Population Mean
    • - Confidence Interval Estimate for Population Proportion

    Two Independent Samples t-Test.
    • - Two Independent Samples t-Test Procedure
    • - Tests of Normality from Two Samples
    • - Interpretation of SPSS Output

    Paired Sample t-Test and Normality Check.
    • - Paired Sample t-Test
    • - Normality Test for the Paired-Difference

    One-way ANOVA and Multiple Comparisons.
    • - One-way ANOVA/li>
    • - Interpretation of SPSS Output on One-way ANOVA

    Nonparametric Tests.
    • - Sign (Binomial) Test
    • - Wilcoxon Signed Rank Test
    • - Wilcoxon Rank Sum Test

    Chi-Square Tests and Contingency Tables.
    • - Chi-square Test of Independence for Organized Data (Weight Cases)
    • - Chi-square Test of Independence for Un-organized Data
    • - Interpret SPSS Output for Chi-square Test

    Correlation & Regression.
    • - Correlation & Regression
    • - Simple Linear Regression, Prediction, Residual Plot

    Logistic Regression.
    • - Logistic Regression: Variables Definitions
    • - Logistic Regression: Use of SPSS and Interpretation of the
    • - Logistic Regression: Interpretation of Odds Ratio
    • - Logistic Regression: Probability Estimation

  • Advanced Excel Syllabus

    Getting Started With Excel.
    • - A overview of the screen, navigation and basic spreadsheet concepts
    • - Understanding workbooks, worksheets, rows, columns, cells
    • - Understanding workbooks, worksheets, rows, columns, cells
    • - Explore the User Interface and the Ribbon
    • - Navigate and Select in Excel
    • - Other Help

    Modifying a worksheet.
    • - Move and Copy Data Between Cells
    • - Fill Cells with Series of Data
    • - Edit Cell Data
    • - Insert and Delete Cells, Columns, and Rows
    • - Go To Cell Data
    • - Inserting, Deleting, Moving and Copying Sheets
    • - Spell Check a Worksheet

    Transposing data.
    • - Importing text and delimiting by space, comma or tab
    • - What does naming a cell range mean?
    • - Rules for naming cells and ranges
    • - Naming cell range(s) in a worksheet
    • - Named ranges within formulas
    • - Navigating through workbooks using named ranges/li>
    • - Creating named ranges automatically based on cell values
    • - Deleting named cells/ranges
    • - Creating subtotals
    • - Removing subtotals

    Creating and Editing Formula.
    • - Concept of Formula
    • - Creating Formula, Editing Formula
    • - Bodmas : Mathematical Order
    • - AutoSum
    • - Copying Formula

    Creating Charts.
    • - Chart basics
    • - Modifying charts
    • - Change the Chart Type

    Data Management.
    • - Organizing Data
    • - Sorting and Filtering
    • - Data subtotaling.

    Functions.
    - Advanced Functions: Logical function
    - Statistical / Mathematical Functions
    - SUM, SUMIF, SUMIFS, COUNT, COUNTA, COUNTIF, AVERAGE, AVERAGEIF, MIN, MAX.
    - Date/Time Functions .
    - TODAY , NOW ,DATE, WORKDAYS, WEEKNUMBER, EDAY, DATEDIF/ NETWORKDAYS/ EOMONTH Function.
    - Text Functions.
    - MID/ SEARCH/ LEFT/ RIGHT/TRIM/ CLEAN/ UPPER/WER/PROPER.

    Data Management.
    • - Pivot tables and Report
    • - Goal seek
    • - Solver function.
    • - Scenario
    • - Data Analysis
    • - Formatting and conditional Formatting.

    Data Analysis.
    • - Descriptive Statistics
    • - TTEST
    • - ZTEST.
    • - Regression
    • - Correlation
    • - ANOVA.

    Hyperlinks.
    • - Inserting a Hyperlink/li>
    • - Editing a Hyperlink
    • - Removing a Hyperlink.

    Macros.
    • - Creating Macros.
    • - Editing Macros.
  • Predictive Modelling

    Descriptive Statistics.
    • - Measure of central tendency
    • - Measure of Dispersion

    Sampling Methods.
    • - Simple Random Sampling
    • - Systematic Random sampling
    • - Stratified Random sampling
    • - Cluster Random Sampling
    • - Non Random samplings: Quota, Judgment, Convince and Snow ball sampling

    Parametric tests.
    • - One sample t test
    • - Independent of two sample tests ( t test & Z tests)
    • - Paired t test
    • - One Way ANOVA
    • - Two ways ANOVA

    Non parametric Tests.
    • - Mann Whitney U test
    • - Kruskal Wallis Anova, Friedman Anova
    • - McNemar test
    • - Median test

    Forecasting Technique.
    • - ARIMA Modeling
    • - Exponential Smoothing

    Predictive Modeling technique.
    • - Multiple Linear regressions
    • - Logistic Regression

    Multivariate Techniques.
    • - Principal Component Analysis
    • - Factor Analysis
    • - Cluster Analysis
    • - Canonical correlation
    • - Discriminate Analysis

  • VBA syllabus

    Topics Covered Understanding on Macros.
    • - How to record a macro
    • - How to edit a macro
    • - How to debug a macro
    • - Implementing macro security and digital signatures
    • - How to assign a short cut button to a macro
    • - Adding a macro as a custom button in excel
    • - Tips on analyzing the requirement and recording a successful macro
    • - Various Exercises on Macros

    Visual Basic in Applications.
    • - VBA and its advantages
    • - Overview of VBA editor
    • - How to use various features in VBA editor
    • - Definition of Modules. How to create and delete VB module
    • - Events, How to add a event to a workbook, How to make Macro work automatically when a workbook is opened, saved etc..
    • - How to use references and help in VBA

    VBA Programming Kit.
    • - Various codes available in VBA and its usage
    • - The Excel Object Model
    • - How to get the required codes for programming
    • - How to declare variables, arrays, assign values etc
    • - How to declare constants and data types
    • - Methods and Properties
    • - Using IF and Loop functions in VBA
    • - Input and Output facilities in programming
    • - Workbooks and worksheets
    • - Ranges and Cells

    Creating User Forms.
    • - What is User form, Advantages
    • - Techniques in creating user form

    Coding Standards Introduction to Interaction of Excel VBA with other application. Session and Review of Various Projects done in Excel VBA You are also going to learn things required to make a successful automation project, To build a automation project what are all the different things to be taken care, Understand customer requirements, How to come up with a idea, Find out the pros and cons of each logical way, Understanding customer knowledge level and system capabilities, developing the automation, testing, working on fixing the issues, User acceptance testing, production release and maintenance. You will also know Just with Excel VBA how You can talk and take control of other applications. What is required to do this? And many more things which will make you think out of the box and create magic in Excel.

  • IT Projects  

    Coming Soon

  •   SAP 

    Basic Settings
    • - Fiscal year Variant
    • - Open & Closing Posting Periods
    • - Field Status Variant

    Organization Structure
    • - Company
    • - Company Codes
    • - Business Areas
    • - Chart of Accounts
    • - Account Groups
    • - G/L Accounts

    General Ledger
    • - Number Ranges
    • - Posting keys
    • - General Postings
    • - Parking a Document
    • - Holding a Document
    • - Reversal of Documents
    • - Reference Documents
    • - Account Balances
    • - Reports

    Accounts Receivable
    • - Configuring the Receivable Document
    • - Defining the Posting keys
    • - Defining Receivable Accounts. Master Records
    • - Reconciliation
    • - Invoice General
    • - Posting Incoming Payments
    • - Tolerance
    • - Taxes on Sales & Purchases
    • - Down Payments
    • - Special G/l Accounts
    • - Reports

    Accounts Payable
    • - Configuring the Payable Documents
    • - Defining Posting Keys
    • - Master Records
    • - Reconciliation
    • - Tolerances
    • - Payment Terms
    • - Outgoing Payments
    • - Difference in Payments
    • - Special G/L Accounts
    • - Down Payments
    • - House Banks
    • - Manual Clearance through Check
    • - Reports

    Controlling
    • - Controlling Area Definition
    • - Version Maintenances
    • - Number Ranges
    • - Activate Components
    • - Cost Element Accountings
    • - Cost Elements Definition

    Cost Center Accounting
    • - Definition of Cost Center
    • - Planning and Actual Postings
    • - Definition of Activity Types and Statistical Key Figures
    • - Allocation
    • - Information Systems

    Internal orders
    • - Master Records Creation
    • - Order Types
    • - Orders
    • - Plan and Actual Postings
    • - Budget Profile
    • - Information Systems

    Profit Center Accounting
    • - Basic Settings
    • - Master Data
    • - Assignments to Profit Centers
    • - Plan and Actual Postings
    • - Information Systems

    Profitability Analysis
    • - Structures
    • - Master Data
    • - Planning and Actual Values
    • - Information Systems

    Product Cost Controlling
    • - Master Records
    • - Bill of Material
    • - Price Calculation
    • - Activity Types Statistical Key Figures
    • - Routings
    • - Costing Sheets
    • - Material Master
    • - Cost Elements with Quantity Structure
    • - Price Updating
    • - Product Cost Planning
    • - Cost Object Controlling
    • - Actual Costing /Material Ledger
    • - Information Systems

    Closing Procedures
    • -Financial Statements

    Integration
    • -Integration With MM
    • -Integration With SD

    Tools
    • -LSMW
    • -BDC
    • -Report painter
    • -ABAP Query

  •   Testing 

    Manual Testing Course Content:

    Introduction to Software Testing
    • - What is Software Testing?
    • - Why Testing is necessary?
    • - today's IT World and Quality Assurance/Testing.

    Software Development Life cycle
    • - Requirements
    • - Analysis
    • - Design
    • - Coding
    • - Testing
    • - Acceptance

    SDLC Models
    • - Waterfall model
    • - Spiral model
    • - V-Model
    • - Prototype model
    • - How to choose model for a project

    Testing-Methods
    • - White Box Testing
    • - Black Box testing
    • - Gray Box testing

    Types of Testing (Black Box Testing)
    • - Functional Testing
    • - Integration Testing
      • * Incremental Integration
      • * Top down approach
      • * Bottom up approach
    • - Non-incremental Integration
    • - Stubs and Drivers
    • - System Testing
      • * End-End Testing
      • * Production Environment
    • - Acceptance Testing
    • -Smoke and Sanity Testing
    • - Ad-hoc Testing
    • -Exploratory Testing

    Non Functional Testing:
    • - Compatibility Testing
    • - Performance Testing
      • * load Testing
      • * volume Testing
      • * stress Testing
      • * scalability Testing
    • - Reliability Testing
    • - Installation/ Uninstallation Testing
    • - Globalization Testing
      • * I18N
      • * L10N
    • - Security Testing
    • - Recovery Testing
    • - Usability Testing
    • - Accessibility Testing

    Test Cases Design - Basic
    • - Error guessing
    • - Equivalence Partition
    • - Boundary Value Analysis

    Test Cases Design – Advanced
    • - Tool Based Test Design
    • - Domain Based Test Design

    Test case Authoring
    • - Functional Test case
    • - Review of Test case
    • - Walkthroughs
    • - Inspection
    • - Peer Review
    • - Regression testing
    • - Unit Regression
    • - Regional Regression
    • - Full Regression

    Test Life Cycle
    • - Requirements
    • - System study
    • - Test plan
    • - Test Cases
    • - Traceability Matrix
    • - Test case execution
    • - Defect tracking
    • - Test Summary Report
    • - Retrospect

    Test Plan
    • - objective
    • - Scope
    • - Approach
    • - Methodologies
    • - Deliverables
    • - Test environment
    • - Schedule and Resources
    • - Effort and estimation
    • - Entry and Exit criteria
    • - Templates
    • - Risk
    • - Assumption
    • - Contingency Plan
    • - References

    Checklists
    • - How to create checklists
    • - When to use checklists

    Defect tracking
    • - Defect life cycle
    • - Severity, priority
    • - Defect tracking Tool Quality Center
    • - Defect report
    • - Defect Tracking Sheet

  •   Oracle SQL 

    CHAPTER 1: DATABASE DESIGN
    • 1. Database Models
    • 2. Beginnings
    • 3. Some Introductory Terminology
    • 4. Codd's 12 Rules
    • 5. Normalization
    • 6. First Normal Form
    • 7. Higher Order Normal Forms

    CHAPTER 2: ORACLE STANDARD INTERFACES
    • 1. SQL
    • 2. SQL*Plus
    • 3. Oracle Architecture
    • 4. Interfaces to Oracle
    • 5. Command Line Interface
    • 6. Viewing a Sample Table
    • 7. The Graphical User Interface
    • 8. The SQL Buffer
    • 9. The Web-Based Interface
    • 10. Describe

    CHAPTER 3: THE SAMPLE DATABASE
    • 1. The Entity Relationship Model
    • 2. Entity Relationship Diagrams
    • 3. The Sample Database
    • 4. ER Diagram for Sample Database
    • 5. Creating the Sample Data
    • 6. Viewing Sample Data
    • 7. Data Types of the Sample Data

    CHAPTER 4: DATA DEFINITION LANGUAGE
    • 1. Categories of SQL Statements
    • 2. Oracle Datatypes
    • 3. The CREATE Statement
    • 4. The DROP Command
    • 5. The ALTER Command
    • 6. Integrity Constraints
    • 7. Entity Integrity Constraints
    • 8. Referential Integrity Constraints
    • 9. Modifying Table to Use Constraints
    • 10. Checking Constraints
    • 11. The Data Dictionary

    CHAPTER 5: DATA MANIPULATION LANGUAGE
    • 1. DML Statements
    • 2. The SELECT Statement
    • 3. The INSERT Statement
    • 4. The DELETE Statement
    • 5. The UPDATE Statement
    • 6. More SQL*Plus Commands

    CHAPTER 6: TRANSACTION CONTROL
    • 1. Transactions
    • 2. Command Classification
    • 3. Savepoints
    • 4. The SET TRANSACTION Command

    CHAPTER 7: SQL OPERATORS
    • 1. Simple Selects
    • 2. Comparison Operators
    • 3. IN and NOT IN Operators
    • 4. BETWEEN Operator
    • 5. The LIKE Operator
    • 6. Logical Operators
    • 7. IS NULL and IS NOT NULL
    • 8. ANY
    • 9. All

    CHAPTER 8: SQL FUNCTIONS
    • 1. Introduction
    • 2. The DISTINCT Keyword
    • 3. Aliases
    • 4. Miscellaneous Functions
    • 5. Mathematical Functions
    • 6. String Functions
    • 7. Date Functions
    • 8. Conversion Functions
    • 9. Pseudo Columns

    CHAPTER 9: JOINING TABLES
    • 1. Joins
    • 2. Cartesian Product
    • 3. Inner Joins
    • 4. Equi-Join
    • 5. Table Aliases
    • 6. Non-Equi Join
    • 7. Non-Key Join
    • 8. Reflexive Join/li>
    • 9. Natural Join
    • 10. Outer Joins
    • 11. Right Outer Join
    • 12. Left Outer Join
    • 13. Full Outer Join
    • 14. Oracle-Specific Syntax for Outer Joins

    CHAPTER 10: SET OPERATORS
    • 1. Introduction
    • 2. Selection Criteria
    • 3. Union
    • 4. Union All
    • 5. Intersect
    • 6. Minus

    CHAPTER 11: SQL SUBQUERIES
    • 1. Introduction
    • 2. Using a Subquery with a DML Statement
    • 3. Typical Subqueries
    • 4. Subquery Operators
    • 5. Standard vs. Correlated Subqueries
    • 6. Correlated Subquery Example
    • 7. Predicate Operators

    CHAPTER 12: GROUPS
    • 1. SQL Statements
    • 2. GROUP BY Clause
    • 3. HAVING Clause
    • 4. Order of a SELECT Statement

    CHAPTER 13: MORE DATABASE OBJECTS
    • 1. More Database Objects
    • 2. Relational Views
    • 3. Updating a View
    • 4. Create or Replace
    • 5. Forcing a View
    • 6. The Data Dictionary Revisited
    • 7. Indexes
    • 8. Synonyms

    CHAPTER 14: REPORTS
    • 1. Report Features
    • 2. Session Control
    • 3. The SET Command
    • 4. The COLUMN Command
    • 5. The BREAK Command
    • 6. The COMPUTE Command

      Oracle PLSQL 

    CHAPTER 1: DATABASE DESIGN
    • 1. Database Models
    • 2. Beginnings
    • 3. Some Introductory Terminology
    • 4. Codd's 12 Rules
    • 5. Normalization
    • 6. First Normal Form
    • 7. Higher Order Normal Forms

    CHAPTER 2: ORACLE STANDARD INTERFACES
    • 1. SQL
    • 2. SQL*Plus
    • 3. Oracle Architecture
    • 4. Interfaces to Oracle
    • 5. Command Line Interface
    • 6. Viewing a Sample Table
    • 7. The Graphical User Interface
    • 8. The SQL Buffer
    • 9. The Web-Based Interface
    • 10. Describe

    CHAPTER 3: THE SAMPLE DATABASE
    • 1. The Entity Relationship Model
    • 2. Entity Relationship Diagrams
    • 3. The Sample Database
    • 4. ER Diagram for Sample Database
    • 5. Creating the Sample Data
    • 6. Viewing Sample Data
    • 7. Data Types of the Sample Data

    CHAPTER 4: DATA DEFINITION LANGUAGE
    • 1. Categories of SQL Statements
    • 2. Oracle Datatypes
    • 3. The CREATE Statement
    • 4. The DROP Command
    • 5. The ALTER Command
    • 6. Integrity Constraints
    • 7. Entity Integrity Constraints
    • 8. Referential Integrity Constraints
    • 9. Modifying Table to Use Constraints
    • 10. Checking Constraints
    • 11. The Data Dictionary

    CHAPTER 5: DATA MANIPULATION LANGUAGE
    • 1. DML Statements
    • 2. The SELECT Statement
    • 3. The INSERT Statement
    • 4. The DELETE Statement
    • 5. The UPDATE Statement
    • 6. More SQL*Plus Commands

    CHAPTER 6: TRANSACTION CONTROL
    • 1. Transactions
    • 2. Command Classification
    • 3. Savepoints
    • 4. The SET TRANSACTION Command

    CHAPTER 7: SQL OPERATORS
    • 1. Simple Selects
    • 2. Comparison Operators
    • 3. IN and NOT IN Operators
    • 4. BETWEEN Operator
    • 5. The LIKE Operator
    • 6. Logical Operators
    • 7. IS NULL and IS NOT NULL
    • 8. ANY
    • 9. ALL

    CHAPTER 8: SQL FUNCTIONS
    • 1. Introduction
    • 2. The DISTINCT Keyword
    • 3. Aliases
    • 4. Miscellaneous Functions
    • 5. Mathematical Functions
    • 6. String Functions
    • 7. Date Functions
    • 8. Conversion Functions
    • 9. Pseudo Columns

    CHAPTER 9: JOINING TABLES
    • 1. Joins
    • 2. Cartesian Product
    • 3. Inner Joins
    • 4. Equi-Join
    • 5. Table Aliases
    • 6. Non-Equi Join
    • 7. Non-Key Join
    • 8. Reflexive Join
    • 9. Natural Join
    • 10. Outer Joins
    • 11. Right Outer Join
    • 12. Left Outer Join
    • 13. Full Outer Join
    • 14. Oracle-Specific Syntax for Outer Joins

    CHAPTER 10: SET OPERATORS
    • 1. Introduction
    • 2. Selection Criteria
    • 3. Union
    • 4. Union All
    • 5. Intersect
    • 6. Minus

    CHAPTER 11: SQL SUBQUERIES
    • 1. Introduction
    • 2. Using a Subquery with a DML Statement
    • 3. Typical Subqueries
    • 4. Subquery Operators
    • 5. Standard vs. Correlated Subqueries
    • 6. Correlated Subquery Example
    • 7. Predicate Operators

    CHAPTER 12: GROUPS
    • 1. SQL Statements
    • 2. GROUP BY Clause
    • 3. HAVING Clause
    • 4. Order of a SELECT Statement

    CHAPTER 13: MORE DATABASE OBJECTS
    • 1. More Database Objects
    • 2. Relational Views
    • 3. Updating a View
    • 4. Create or Replace
    • 5. Forcing a View
    • 6. The Data Dictionary Revisited
    • 7. Indexes
    • 8. Synonyms

    CHAPTER 14: REPORTS
    • 1. Report Features
    • 2. Session Control
    • 3. The SET Command
    • 4. The COLUMN Command
    • 5. The BREAK Command
    • 6. The COMPUTE Command

    CHAPTER 15: INTRODUCTION
    • 1. SQL vs. PL/SQL
    • 2. A Few Simple Examples
    • 3. Saving Procedures
    • 4. A More Complete Picture
    • 5. Comments
    • 6. Variable Substitution
    • 7. Simple Exception Handling
    • 8. Advantages of PL/SQL
    • 9. Assignments

    CHAPTER 16: DECLARATIONS AND DATA TYPES
    • 1. Declarations
    • 2. Standard Data Types
    • 3. Initialization
    • 4. Variable Names
    • 5. Specialized Data Types - %TYPE
    • 6. Specialized Data Types - %ROWTYPE
    • 7. Building Your Own Data Types - Records
    • 8. A Quick look at Loops
    • 9. Arrays
    • 10. Tables
    • 11. Nested Blocks

    CHAPTER 17: LANGUAGE COMPONENTS
    • 1. Introduction
    • 2. Assignments
    • 3. Decision Making Statements
    • 4. Simple Loops
    • 5. Loops - for
    • 6. Loops - indefinite
    • 7. Loops - while
    • 8. Simple Loops
    • 9. Nested Loops
    • 10. Boolean Variables
    • 11. PL/SQL Relational Operators
    • 12. PL/SQL Logical Operators
    • 13. The CASE Construct

    CHAPTER 18: CURSORS
    • 1. Introduction
    • 2. Cursor Manipulation
    • 3. Using the Cursor
    • 4. For Loops Cursors
    • 5. Cursor Attributes
    • 6. Cursor Parameters
    • 7. Nested Cursors
    • 8. Cursor Exceptions

    CHAPTER 19: EXCEPTIONS
    • 1. Errors in Programs
    • 2. Run Time Exceptions
    • 3. Oracle Built In Exceptions
    • 4. Unnamed Exceptions
    • 5. Built in Exception Functions
    • 6. Creating Your Own Exceptions
    • 7. Building Non Terminating Exceptions

    CHAPTER 20: FUNCTIONS AND PROCEDURES
    • 1. Introduction
    • 2. Creating a Procedure
    • 3. Example Procedure
    • 4. Using Parameters
    • 5. Functions
    • 6. Procedures and Exceptions

    APPENDIX A: AN SQL AND SQL*PLUS REFERENCE
    • 1. DDL Statements
    • 2. DML Statements
    • 3. Transaction Control Statements
    • 4. Operators
    • 5. Common SQL*Plus Commands

  • Analytical Projects

    Our team of data analysts uses a wide range of proven data modelling tools and methods which they will draw upon to meet your business needs.

    We are helping to analyze all kind of statistical data based on client objectives and provide an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, Sampling, simulation, experimental design and more.

    We provide a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns leading ultimately to new insights and better answers faster.

  •   Analytical Projects 

    Coming Soon
  •   IT Projects 

    Coming Soon
  •   Corporate Training 

    Coming Soon
  • Contact Us

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    Complete Analytics Training Institute
    48/2, 33rd mainroad,
    IIndCross, Dollars scheme,
    BTM Layout 1st stage,
    Bangalore- 560068.
    Landmark: Near Novel Business Centre.
    Ph No: +91 9886096090
    E-Mail ID: info@completeanalytics.in
  •   Testimonials  

    Predictive Modelling Course
    The course content is exhaustive and got good exposure to SAS n SPSS.




    Amit
    amitsaurabh777@yahoo.com
    10-11-2012
    Predictive modeling
    Its glad to express about complete analytics.great learning environment, we can lean Advance statistics, predictive, modeling forecasting tech by SAS




    chandrakala
    chandu.kallimath@gmail.com
    09-11-2012
    VBA and SAS
    I have undergone for SAS and VBA courses.The coaching was excellent and got very good exposure in implementing those in Real time




    Pramod
    pramodmba68@gmail.com
    06-11-2012
    Predictive Modelling Course
    I have taken this course,the course was excellent. And I got exposure to SAS,SPSS and Excel also.




    Bassem
    bassem_0103@gmail.com
    06-11-2012
    Excellent Predictive modeling course
    the predictive modeling course was very useful for me to get a job, I am very much happy with the course. Thanks to Complete Analytics.




    Praveen
    praveen4143@gmail.com
    19-03-2013
    Base SAS, SAS Eminer
    I have undergone training on Base SAS and SAS Eminer where i gained good knowledge and placed in very good company, I would like to join for SAS BI and Di as well, please let me know the schedule




    jagadish kumar
    seelajagadish@gmail.com
    02-08-2013
    Predictive Modeling and SAS
    I would like to thank CA and the teachers, who helped me transforming my career from a marketing guy to a BA in Tech Mahindra. The Course structure and the methodology of teaching having a real life application, which enable the student to a forerunner in Analytics.




    Basudev
    basudevpanda@gmail.com
    02-08-2013
    Good personal attention
    I got trained on SAS and Predictive Modelling. Course is exhaustive. What I like the most is the personal attention given to each student based on one's grasping & understanding capabilities.




    Raji
    rrajalaxmi@gmail.com
    02-08-2013
    Excel and vba
    It was a nice learning experience ,learned in and out about excel and vba .I wish to thank my teacher and the institute ,for giving me a nice learning opp0rtunity.




    Amarnath A
    amarnathklgd@gmail.com
    09-03-2014
    SAS
    This course was good and well structured.All the topics were covered mentioned in the course structure provided.The trainer was clear in explaining the topics and we also had discussions if we had any doubts.I would recommend this course for anyone who wants to get stared with SAS as its an excellent and value for money course.




    Niloo
    niloo.dass@gmail.com
    23-03-2014
    Good Institute
    Complete Analytics is very good institue where in we will get indepth knowlege of Predictive Anaytics,This is est recommandable instiue in Bangalore




    K Rajesh Babu
    kamsanirajesh@gmail.com
    06-04-2014
    About Complete Analytics
    It gave me the best knowledge and resorces and equipped me to face the challenges in the industry. It is one of the best centre for Predictive Modelling in Bangalore.




    Arunraj
    arunrajelangovan@gmail.com
    19-04-2014
    Research Analyst.
    Very good learning experience. The kind of example, techniques that were thought in Predictive Modeling are really helpful in realtime.The course is well structured to bridge the gap and match the industry expectations. Perfect for peoplewho are interested in Analytics.




    Ravikiran
    ravicse525@gmail.com
    19-04-2014
    Predictive Analytics Course
    I have taken predictive analytics course. It was very nice learning experience, where will get the indepth knowledge of the analytics.And also got good exposure to SAS.Personal attention was given to each student.Thanks to Ravi and complete Analytics.




    Suman V Hiremath
    sumanvh21@gmail.com
    19-04-2014
    Feedback
    It was awesome learning experience on predictive modeling,after completing the course i have gained confidence to work individually on predictive modeling. millions of thanks to Complete Analytics.




    Gopinath
    questgopi@gmail.com
    19-04-2014
    Feedback
    It was awesome learning experience on predictive modeling,after completing the course i have gained confidence to work individually on predictive modeling. millions of thanks to Complete Analytics.




    Gopinath
    questgopi@gmail.com
    19-04-2014
    Predictive Modelling Course
    Course is fantastic,trainer is very knowledgeable. It helped me improve my analytics quotient. I was taught to implement all types of models both in SPSS and SAS.




    Sai Gunaranjan
    tcsaigunaranjan@gmail.com
    19-04-2014
    Asst Manager
    Before I joined this Predictive Modelling training in this institute, I had very basic knowledge of Statistics and SPSS . But after 3 months of training, I feel very confident. The knowledge Ravi has on Statistics is exponential, every concept is explained in a simple layman language. I would really like to thank Ravi and the institue for all the knowledge sharing.




    Chandra
    geminichandu@gmail.com
    19-04-2014
    Predictive Modelling
    I have taken Predictive modelling classes and it was very helpful in my daily work. Regards, Sanchit




    sanchit
    singh.sanchit27@gmail.com
    27-09-2014
    Predictive Modelling
    I am delighted from the learnings from Ravis predictive modelling classes. It gave me loads of learnings to take home and will help in my future career. He is a good person as well. Cleared all my doubts without any hesitation.




    Prarabdha
    akshu.1906@gmail.com
    28-09-2014
    Predictive Modelling
    Very Good institute to learn analytics,you not only learn about theory most importantantly about the practical knowledge. Need to mention about Teaching staff they are industry experts and very supportive at any point of time, that will encourage a lot learn for any beginer.... Thanks a lot Complete Analytics




    Putta
    puttaswami.r@gmail.com
    28-09-2014
    Predictive and SAS
    I have completed the Predictive Modelling course from Complete Analytics. I have worked on certain statistical concepts but this course helped me to refresh my statistical knowledge and also gave me practical exposure to tools. Apart from that I also learned some new techniques which were very helpful and useful for my growth in the analytic field.




    Debasmita Sinha Roy
    debasmita.sinharoy@gmail.com
    28-09-2014
    Sas & Predictive Modeling
    Perfect for beginners without prior knowledge of SAS or Modeling . SAS & Predictive Modeling Classes are Excellent and lot of effort is put in by the faculty to make us Industry Ready . In one word FANTASTIC !!




    Abhishek Biswas
    tubai306@rediffmail.com
    17-10-2014
    SAS + Predictive Modelling
    It has added a lot of value to my portfolio which will help me to get through the interviews.




    Sagar Nath
    sagar.nath@gmail.com
    18-10-2014
    SAS AND predective modeling
    HI, i want to share my learning experience with complete Analytics. approach of teachers are very positive here.I have a good job after completing my course over here. i do highly recommended to all who are seeking this kind of course can join this instiude.




    kapil singh
    kapilsinghvtu@gmail.com
    19-10-2014
    SAS
    The best place to learn with real time data.




    Avneesh
    avneesh.jain6122@gmail.com
    02-11-2014
    SAS & Predictive Modelling
    It was great learning SAS & PM in complete analytics. it really helped me in my career mapping. The course content is very structured with excellent trainer at the institute. The best part is you can keep in touch with your trainer post your completion of course...




    ranjan
    ranjanbndm@gmail.com
    02-11-2014
    Predictivemodelling
    Itwas extremely useful. The syatematic and friendly approach can make learning really easy. I learnt a lot.




    Dr.D.N.Murthy
    dn.murthy@yahoo.co.in
    16-11-2014
    Predictivemodelling
    Best predictive modelling class I have ever seen. Best faculty, simplest way of explaining concepts,good examples, class room excersises are very usefull and to the point..... overall best place to kick start your analytical journey




    JITENDRA ROSHAN
    jitendra.roshan@gmail.com
    16-11-2014
    Predictive Modelling
    Learning PM course is very usefulto me,thewayof explaining of the techniques are very simple and easy way... Well the practical sessions helps you a lot to understand in asimple and good way.




    Raja Manikanta
    mr.manikanta@gamil.com
    16-11-2014
    Predictive Modeling
    Basics were explained very clearly. Problems were solved well. Excellent




    Divya Rajan
    divya1702@gmail.com
    07-12-2014
    Predictive Modeling
    The classes focused on basics along with practical exposure. It definitely helps in preparing for interviews and entering to analytics world. Thanks!




    Purbi Adak
    purbiadak@gmail.com
    07-12-2014
    Analytics
    One of the best place to learn Anlytics. I can strongly suggest to people who would like to learn Analytics this is the best place.




    Rajendra
    baburajendra1127@gmail.com
    07-12-2014
    Best place to learn Predictive Modelling & SAS
    The faculties at Complete Analytics are knowledgeable, systematic, supporting and friendlier, and that makes novice like me comfortable learning difficult statistics modelling with real time industry related examples.Thanks to Ravi for making Statistical Predictive Modelling techniques simple. Thanks to Veeran for making SAS tool easy.




    Loy
    loiyumba@gmail.com
    07-12-2014
    SAS Training
    Complete analytics is very helpful to the candidates who want to make a career in analytics. the faculty in complete analytics make the concepts very simple to understand and develop interest in the same. It is highly recommended institute.




    Chetna Gupta
    chetnapn@yahoo.com
    23-01-2015
    SAS Prog
    First of all, I want to say "its work paying". Actually I wanted to join in some other institution and I joined here with half-minded. But I felt very comfortable as soon as my training started. The way they trained was good and I got clarifications for almost all of my questions. All trainers are very knowledgeable.




    Karthik
    yccshan@gmail.com
    05-04-2015
    SAS Prog
    I joined for SAS.All trainer are very friendly, comfort to clearing doubts. Not only for learning tool but also guiding interview panel. If you Practice their materials, case studies you will get deep knowledge in SAS.Finally you won’t feel your money is wasted...




    Sanjith.M.G
    mailsanjith15@gmail.com
    05-04-2015
    SAS
    I love this institute mainly on flexibility of Trainers and support. I attended both SAS and Predictive Model... both are really good along with real time examples. Thanks CA Team for all your support!




    Putta
    puttaswami.r@gmail.com
    12-04-2015
    predictive modelling
    I had a very good experience interacting with faculties of the institute.The teaching environment is friendly and interactive,the best thing is that a student can come freely even after his course is complete and freely ask doubts and materials.




    karthik shashank.M
    karthikshashank@yahoo.in
    12-04-2015
    Predictive Modelling Training
    Just did my training in Predictive Modelling with Complete Analytics. Wonderful tutor with indepth knowledge and real professional experience. So much better than going through a book and wondering what it means. Strongly recommend this training.




    R. Sriram
    shriram78@yahoo.com
    12-04-2015
    SAS & Pred Modelling
    Excellent learning source for building fundamentals. It all starts at a very basic level and takes you to the advanced level with practical examples. Course content is very exhaustive and also helps you learning by your own.I highly recommend the institute for learning Analytics.




    Amit Madhup
    madhup_amit89@hotmail.com
    28-06-2015
    Feedback
    It was an knowledge development course,where we were guided in the right direction in the analytical space where i want to make my career. And to be frank Complete Analytics toght Predictive Analytics in a very manner. And also it really great to have Ravi as our trainer. Best, Shravan




    Shravan S G
    shravanksg@gmail.com
    04-07-2015
    Predictive Modelling & SAS
    Just awesome!!!!... The best institute for Predictive modelling and SAS, helped in curving my future towards business analytics domain. Institute have a woderful context, method of teaching, fabulous & too friendly instructors. Timely assignments, tests and live projects helped in pioneering analytics.




    sachin s
    sachin.skmath@gmail.com
    15-08-2015
    SAS
    I have done SAS Module here. It helped me to learn SAS in detail.The training here is very good.There will be very good interactive sessions with the faculty.The case study which they will give are very worth. If you follow the class and do the case study you will be getting a good overview in SAS.




    Arjun
    arjundasari@gmail.com
    30-08-2015
    SAS
    good




    Rami Reddy
    ramireddy8197@gmail.com
    30-08-2015
    BASE SAS and Advanced SAS
    It was great experience ,the faculty was very friendly , and i got good exposure in base sas and advanced sas.thanks to Gouda sir




    karthik P
    pullamsetty18@gmail.com
    30-08-2015
    SAS & Predictive Modelling
    Complete Analysis is one of the best thing happened to me.Faculty is exceptionally good here with deep knowledge of the domain.I would strongly recommend this institute if you want to make your career in analytics Industry




    Mohit
    connectmohit13@gmail.com
    30-08-2015
    Predictive Modelling Course
    I would like to thank Ravi and entire Complete Analytics team for sharing their knowledge and industry experience. It has not only helped to understand the statistical concepts but also the entire classroom session has enabled me to prepare myself to take up challenges in Analytical industry where I can showcase my knowledge and experience. The faculty and team is very friendly and I must say it is very good place to start your analytical career.




    Kumar Kamal
    kamalramjas@gmail.com
    13-09-2015
    Predictive Modelling Course
    The Course helped me gain knowledge in R and modelling techniques and made me confident since I had no background in Statistics. I would like to thank the faculty for great efforts and wish them all the best! Continue doing the great work you are doing!! I would recommend this course to anyone who wants to gain knowledge in statistics.




    sheethal
    sheethalpk@gmail.com
    13-09-2015
    Predictive Modelling
    Good Place to have my concept clear on the basic of stats to Modeling concept, which helped me to develop more on my domain




    Satya
    pradhan.satyabrat@gmail.com
    13-09-2015
    Advance Analytics with R programming
    I have taken Predictive analytics Course It was great learning experience using statistical concepts.




    raja reddy
    rajeshwar.reddy001@gmail.com
    13-09-2015
    R and Predictive Modelling
    The course content is very well designed and all the topics covered in a very understandable way. Myself being new to the statistical world, I felt, Course instructor Ravi, covered the topics in such a way that, any one can understand the concepts easily. I felt, Ravi is having sound knowledge in statistics and very confident in explaining. I am really feel happy for joining the course here, which helped alot in understanding the concepts. I would like to Thank Ravi in this regard!




    Sudhakar B
    beesabathuni.sudhakar@gmail.co
    13-09-2015
    Predicitive Modeling & Advance Analytics
    Thanks Ravi and complete Analytics for enhancing my skills in Analytics. The sessions were good and interactive. It helped me a lot to learn different aspects of Analytics.




    Nilesh Khamgal
    nilesh.khamgal@gmail.com
    13-09-2015
    Predictive Modeling
    Training was good, Class was very informative, Thanks Ravi




    Priyanka
    rajans.priyanka@gmai.com
    13-09-2015
    SAS Base
    Awesome learning environment and good facilitators, worth joining. Ensured continuous support. Looking forward to join for Predictive Modelling.. Complete Analytics Training Institute walks the talk.......




    Rahul
    rahulkooliyat@gmail.com
    19-09-2015
    Best Place available in Bangalore to learn Analyti
    Complete Analytics is the best place to learn Predictive Modeling in Bangalore. Ravi (Tutor) is one of the best teachers I ever had in my life. He was able to clarify almost all the doubts students had during the session. He has in-depth knowledge in Statistics and has very good knowledge in almost all the Analytics tools currently in the market. He gives personal attention to all the students in the class and makes sure everyone is clear about all the topics covered in the class. He is a very confident, kind and motivating person and is a role model for all his students. - Vimal Prabhakaran Business Analyst - IBM




    Vimal Prabhakaran
    vimal.prabhakaran@gmail.com
    21-09-2015
    SAS Base & Advance
    SAS Training program at Complete Analytics exceeded my expectations, the faculties always taught to the point and gave great insights relating to the real life examples used in Industries. I could network with fellow students from diverse professional backgrounds. The support team and staff at CA are very helpful




    Bonaventure
    kwitonda@gmail.com
    17-10-2015
    SAS
    One of the BEST training institute!!! I would recommend this institute to join if you are looking to learn SAS.




    Renita
    renitajennifer@gmail.com
    31-10-2015
    VBA
    I have taken MS Office VBA course from Complete Analytics . The entire course is very beneficial for career and the way of teaching of faculties are really awesome .finally I would like to say its a good institute.




    Neeraj Singh
    neerajsinghbangalore@gmail.com
    08-11-2015
    SAS
    I have done the Base/Advanced SAS module with Complete Analytics . I believe that they are the best when it comes to giving you an in-depth view of the subject. They also assist you in getting your SAS certification cleared - something that helps you get into the analytics industry especially if you are fresher.. I would recommend Complete Analytics to any one wanting to get an introduction to the world of analytics.




    Soumyajit Das
    soumyajitdas081286@gmail.com
    08-11-2015
    Bhanu Nallam
    My search for VBA training institute was ended up with Complete Analytics. I have joined for advanced excel with VBA. The training session are really good and interactive and I strongly recommend to any one who has quest to learn VBA and advanced Excel.




    Bhanu Nallam
    bhanukumarnallam@gmail.com
    08-11-2015
    Base SAS Course
    Base-SAS course by Complete Analytics was a good learning experience with good amount of exercises and case studies. Will come back for other advanced courses.




    Akshay Govinde
    akshaygovinde@gmail.com
    29-11-2015
    Base SAS Course
    Base-SAS course by Complete Analytics was a good learning experience with good amount of exercises and case studies. Will come back for other advanced courses.




    Akshay Govinde
    akshaygovinde@gmail.com
    29-11-2015
    Excellent course content and sincere trainer
    The trainer spares no effort to expose students not only to tools such as R and SAS, but also to basic and advanced statistics before explaining modelling concepts. Additionally, excellent material and numerous dats sets is provided as also ready executable code is made available for each module both in R as well on SAS !. I believe that the above approach coupled with the simple way even complex ideas are conveyed immensely helps individuals from various backgrounds to gain in confidence to switch to a career in analytics. In conclusion, it is fair to say that this course offers great value for money, and is amongst the best that is out there.




    Ravi Kumar
    dsrkumar@gmail.com
    09-01-2016
    Thanks for Exhaustive Coverage
    Ravi is an excellent teacher and passionate Data Scientist. If anybody is having real passion from real predictive modeling I must say He is the guy.. Thanks a lot Ravi for guiding us in right direction




    SANJIT K
    khasnobis.sanjit890@gmail.com
    10-01-2016
    sas progrm, ntt data
    The course is so well planned. Instructer so experienced that he makes the learning so interesting. Gives us the right knowledge and insight into the this world of analytics. Enrolling to this course was the best thing ive done for my career. Thanks to RAVI..!!!!!!




    Puneeth
    puneeth_venu@yahoo.co.in
    10-01-2016
    SAS BASE AND ADVANCE
    Good teaching faculties and treat like a friends. totally good coaching Centre for learning SAS.




    krishnamurthy G
    Gowthamkrishnamsc@gmail.com
    23-01-2016
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