347 647 9001+1 714 797 8196Request a Call
Call Me




We create 2.5 quintillion bytes of data everyday. So much that 90% of the data in the world today has been created in the last two years alone. Source: IBM Big Data

Professionals who can analyze all this data & create useful information are highly sought after by companies across the world.


Business and the governments are finding ways to make sense of all the available data. Business Analytics thus finds favor as it is the use of tools and techniques like data mining, pattern matching, data visualizations and predictive modeling to predict and optimize outcomes and derive value from the data. Equipped with this useful information, organizations can compete better in cut-throat markets both locally and globally.


Today, data is everywhere. We create it simply with the touch of a button. But how much of it is actually useful? Whether you are in finance, operations, sales & marketing or planning, you maybe in touch with million data points everyday without being aware of how to derive valuable information from this data.

With EduPristine’s Business Analytics Program, you will be able to extract useful information from millions of bytes within minutes. This program focuses on Forecasting, Econometrics and Time Series Analysis and prediction of future outcomes based on historical patterns. It makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling and fact-based management to drive decision making.

The program consists of classroom training with a specially designed 4 day hands-on workshop where you can start interpreting data along with projects and assignments that have a real-world case study mode rather than just theory. (It is compulsory to carry your personal laptop to the class)


The course will enable you to-

  • Explore data to find new patterns and relationships (Data Mining)
  • Predict the relationship between different variables (Predictive Modeling, Predictive Analytics)
  • Predict the probability of default and create customer Scorecards (Logistic Regression)
  • Understand a Problem in Business, explore and analyze the problem
  • Use tools like R (open source) and Excel to interpret data
  • Solve business problems using analytics (in R) in different fields

Sample Preview of Course Material:

Multivariate Linear Regression & Linear Regression Mode Development


This course is designed to equip professionals working in the fields of Finance, Marketing, Economics, Statistics, Mathematics, Computer Science, IT, Analytics, Marketing Research, or Commodity markets with the essential tools, techniques and skills to answer important business questions.

There are no real skills you need to take this course, although basic mathematics and good analytical skills will be beneficial. However, the course is designed for people with minimal mathematical knowledge.


The use of Business Analytics is widespread across all industries and functions, including Information Technology, Web/E-commerce, Healthcare, Law Enforcement, Banking and Insurance, Biotechnology, Human Resource Management. Some of the application areas include critical product analysis, target marketing, customer lifecycle management, customer service, social media behavior and link analysis, fraud detection, genetic research, inventory management, etc.

Below a list of a few Business Analytics roles across industries:

  • SAP CO Business Analyst
  • Intelligence Analyst
  • Imagery Analyst
  • Information Analyst
  • Net Java Analyst
  • SAP PP Senior Analyst
  • Senior Business Systems Analyst
  • Business Intelligence Analyst
  • Business Data Analyst
  • Contract Analyst
  • Junior Business Analyst


The course starts from basics but having basic knowledge about Excel will help.


Introduction to Analytics
Data Analysis (Will be using excel to solve examples)
Basic Statistics
Predictive Modelling
Logistic Regression


ClassRoom Training with Lab Practical

Get trained by topic experts with interactive learning in small batches.

65+ video Tutorials

Easy to follow byte sized video tutorials of over 1200 minutes created by topic experts. Learn the concepts at your own pace.

Study Notes

Download the study notes to supplement video tutorials.

Real-world Case Studies

Get the best training in analytics by understanding real world problems and scenarios

Analytical Tool - "R" Software

Get trained in R software to carry out Linear and Logistic Regression

Unlimited Download Access

Download the whole material anytime during your 1 year subscription and use it for any future reference.

Excel Workbooks

Create Analytical models following a step-by-step approach devised by professionals. These workbooks have been specially designed to ensure you incorporate best industry practices of analytical modeling.

One on One Q&A

Get your doubts solved even after the classroom sessions. You can schedule one Q&A session of upto 60 minutes with our experts within 30 days of classroom training.

Doubt Solving By Experts

Write to us and get your doubts solved by our experts within 2 business days. You can also initiate a discussion by posting it on active forums.

Certificate of Excellence

A reference to get ahead in your career. At the end of the course, you will receive a Certificate of Participation. You can also earn the Certificate of Excellence upon completing our course assignment (Please get in touch with our sales representative for more details).


Day-Wise Module Info
Day 1: Introduction to Analytics, Data & Basic Statistics Analytics v/s Analysis
Types of Analytics, Business domains within Analytics
Types of Data Variables & Summarizing Data
Central Tendency, Symmetry and Skewness
Random Variables, Probability Distribution, Central Limit Theorem
Sampling and Statistical inference, Confidence Intervals
Case Study 1: Banking Sector Credit Card Department
Day 2: Basic Statistics & Predictive Modeling Hypothesis Testing
Analysis of Variance
Introduction to Tools and Software commonly used in Analytics
Multivariate Linear Regression Theory
Day 3: Predictive Modeling & Forecasting Multivariate Linear Regression (Using Excel and R)
Logistic Regression (Using R)
Case Study 2:Case: Auto Insurance Company, Banking Sector Credit Card Department
Case Study : Auto Insurance Company, Banking Sector Credit Card Department
Day 4: Time Series Modeling Models of time series
  • Moving averages
  • Autoregressive Models

Model Estimation
Model Validation
Model forecasting
  • Identify the ARIMA model
  • Estimate the best ARIMA models
  • Validate the model
  • Forecast the sales based on model
Case Study 4: Sales Forecasting of Automobile company
Tools: Excel and R


Job well done!! The engagement with the EduPristine rep was favourable. The trainer, was knowledgeable. I like the fact that he has hands-on experience rather than just theory based.

The course encourages me to explore this area further & it has been an interesting experience which helped us learn, shape out approach towards problems


If you like to play with numbers or if you have analytics skills. This course is meant for all those students and professionals who are interested in working in industry analytics and are keen to enhance their technical skills with exposure to cutting-edge practices.

The pre-requisites for learning ‘Business Analytics’ include basic mathematics and good analytical skills

You will be learning "R Studio" in classroom session & demonstration on "SAS Language".

related links

Batch Start Date


Ph: +1 347 647 9001
Venue Details: TBD
Buy Now

Upcoming Batches




Global Association of Risk Professionals, Inc. (GARP®) does not endorse, promote, review or warrant the accuracy of the products or services offered by EduPristine for FRM® related information, nor does it endorse any pass rates claimed by the provider. Further, GARP® is not responsible for any fees or costs paid by the user to EduPristine nor is GARP® responsible for any fees or costs of any person or entity providing any services to EduPristine Study Program. FRM®, GARP® and Global Association of Risk Professionals®, are trademarks owned by the Global Association of Risk Professionals, Inc

CFA Institute does not endorse, promote, or warrant the accuracy or quality of the products or services offered by EduPristine. CFA Institute, CFA®, Claritas® and Chartered Financial Analyst® are trademarks owned by CFA Institute.

Utmost care has been taken to ensure that there is no copyright violation or infringement in any of our content. Still, in case you feel that there is any copyright violation of any kind please send a mail to and we will rectify it.

Popular Blogs: Whatsapp Revenue Model | CFA vs CPA | CMA vs CPA | ACCA vs CPA | CFA vs FRM

new_us_ classroom_courses.php Post ID = 44813