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Business Analytics 


Program Overview

Business analytics (BA) refers to all the methods and techniques that are used by an organization to measure performance. Business analytics are made up of statistical methods that can be applied to a specific project, process or product. Business analytics can also be used to evaluate an entire company. Business analytics are performed in order to identify weaknesses in existing processes and highlight meaningful data that will help an organization prepare for future growth and challenges.

The employment potential in Data Analytics and Big Data comes in the form of the very highly skilled jobs for data analysts/data scientist’s proficient in areas such as mathematics, statistics, economics, engineering and management science and with the associated IT skills required to mine and analyze the data concerned. Along with the demand for big data, better data, and the need for greater insight into organizations operations comes the need for analytic professionals who can effectively leverage this data to maximize business benefits.


Program Objective

  • Understanding of Business Analytics
  • How could it be applied in Organization?
  • How you can initiate Business Analysis Project?
  • How to use Statistics for Predictive Analytics?

Course Outline


  • Descriptive Statistics
  • Central Limit Theorem
  • Sampling and Hypothesis Testing
  • How Regression works
  • Case Study on Predicting Sales from Ads
  • Evaluating a regression model
  • Doubt Clarifications: Q&A


  • Bringing in more factors to make a prediction
  • Dummy variable regression
  • Interpreting a multiple regression output
  • Case study on setting the sales target for cross-country sales teams
  • Evaluating a multiple regression model
  • Improving model performance
  • Doubt Clarifications: Q&A


  • Multiple Regression Vs Logistic Regression
  • Interpreting the output of a Logistic Regression
  • Business Use cases across multiple industries
  • Case Study on Applying logistic regression in stock markets
  • Evaluating a logistic regression model
  • Doubt Clarifications: Q&A


  • Simple Moving Average
  • Exponential Moving Average
  • ARMA Models
  • ARIMA Models
  • Doubt Clarifications: Q&A


  • Different types of clustering
  • K-means clustering
  • Case Study on using clustering for customer segmentation
  • Doubt Clarifications: Q&A

Target Participation:

Operational Manager, Sales & Marketing Executives for whom Decision making and Performance Management is Important / key commitment.

Timings: 9:30 am – 5:00 pm Registration begins at 9:00 am

How to Register:

  • Fees: Rs. 9,500/- +18 % GST per person.
  • Please write to / Call -022 67256200
  • Mention the name of participant, company, contact details .
  • Cheque favoring Princeton Academy Mumbai II Pvt. Ltd. payable at Mumbai.
  • Fees includes lunch, tea, course material etc.
More insight on data modelling & analytics. Advanced excel tools (Introduction).

Mr Kapil Sharma – Sr. Manager – RMSI Pvt ltd
Basic understanding of the concepts of statistics regarding their use in business analytics.

Mr Indu Jain – Sr. Technical Manager – RMSI Pvt ltd
How to use the data for taking decision. What is data analysis all about.

Mr Senthil Rajendran – Sr. Manager – RMSI Pvt ltd
Knowledge on statistical methods. Insight on business analytical model.

Mr Prabhat Gupta  – Quality Manager – Kelly Services India Pvt Ltd