Business Analytics Course

706 reviews


We create 2.5 quintillion bytes of data every day. So much that 90% of the data in the world today has been created in the last two years. Business Analytics has thus created opportunities like never before. EduPristine and Dun & Bradstreet's Business analytics certification program will give you the edge in the competitive market.

Business Analytics Course


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 will be in touch with million data points every day without being aware of how to derive valuable information from this data.

With EduPristine institute's Business Analytics training 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 business analytics course consists of classroom training with a specially designed 10 days 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)


Dun & Bradstreet is an Amercian company headquartered in Short hills, New Jersey, US. Founded in 1841.They are world's leading provider of global business information, knowledge and insights. They provide a wide suite of information and knowledge solutions in the areas of Risk Management, Financial Education, Economic Analysis and Sales & Marketing Solutions. Dun & Bradstreet products and solutions are aimed at helping customers turn information into insight, so as to support quick and confident decision making.

Dun & Bradstreet has been listed on the Fortune 500 and was one of the first companies to be publicly traded on the New York Stock Exchange.


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:

  • Data Analyst
  • Business Analyst
  • Financial Analyst
  • Marketing Analytics Manager
  • Pricing Analyst
  • Supply Chain Analyst
  • Website Analyst
  • Fraud Analyst
  • Retail Sales Analyst
  • Clinical Analyst


(Online): Basic Stats
Topic What I will Learn
Introduction to Analytics - Overview Analytics v/s Analysis
Data - Topic covered 1.Summarizing Data
2. Outlier Treatment
Case: Categorization of data variables Exploring credit card customer database to define variable types & categorizing them.
Topic What I will Learn
Linear Regression – Topic Covered Correlation and Regression Multivariate Linear Regression Theory Bivariate Analysis ANOVA (Analysis of Variance)
Case: Multivariate Linear Regression Identify and Quantify the factors responsible for loss amount for an Auto Insurance Company
Domain Covered Insurance Industry
Topic What I will Learn
Logistic Regression – Topics Covered Identifying problems in fitting linear regression on data having "Binary Response" variable
Generalized Linear Modeling (GLMs)
Logistic Regression Theory/Case
• Fitting the regression using SAS language
• Lift/Gains chart and Gini coefficient
• K-S stat
Case: Multivariate Logistic Regression Identify bank customers who will most likely default in making the payment on balance due.
Domain Covered Banking Industry
Topic What I will Learn
Decision Tree & Clustering – Topic Covered Data Mining and Decision Trees
CHAID analysis
Why and Where to use Clustering
Clustering methods
K-means Clustering Algorithm
Case: CHAID & CART Analysis Identifying the classes of customer having higher default rate
Case: K-means Clustering Identifying similar groups in database containing auto insurance policy records using K-means Clustering
Domain Covered Insurance and Banking Industry
Topic What I will Learn
Logistic Regression – Topics Covered Models of time series
The Box-Jenkins model building process
• Identify the ARIMA model.
• Forecasting future sales based on historical data for an automobile company.
Case 1: Time Series Modeling using R
Case 2: ARIMA Modeling
Identify bank customers who will most likely default in making the payment on balance due.
Domain Covered Automobile Industry
Topic What I will Learn
Logistic Regression – Topic Covered Identify and develop Dependent variable
Prepare correlation matrix and VIF chart
Variable reduction through Multicollinearity
Perform Binning to prepare modeling dataset
Run the model
Write the Scoring or implementation strategy
Case: Up-Sell Model Propensity Model for Up-Sell in Telecom Industry
Domain Covered Telecom Industry
Topic What I will Learn
Association Rule – Topic Covered Affinity analysis to understand purchase behavior
Understanding Apriori algorithm
Analysis of output results to plan store layout, promotions and recommendations
Case : Market Basket Analysis Understanding apriori algorithm to identify affinity among the purchase data in the basket based on historical transactions.
Domain Covered Retail Industry


Case Synopsis
Cross Sell Model Propensity to Cross sell health insurance products to general insurance customers.
Market Mix Modeling Optimization of the promotion expense using Market mix modeling
Churn Analytics Developing a churn model to gauge the propensity of attrition among loyal and profitable customer segment.
Email Optimization – E commerce Industry Developing a system that ensures that the correct campaign reaches the relevant customers with a suitable frequency to further enhance the level of engagement across all email campaigns.
Customer Lifetime Value Analysis Predicting the customer survival along with the profitability to model the life time value of each customer.
Telecom Model to Estimate Bill Building a model that can suggest right tariff plan based on estimated bill amount.
Sentiment Analysis Process of detecting the contextual polarity of text to find whether a piece of writing is positive, negative or neutral.
Data Visualization (10 Hrs Classroom Session)
The visualization design methodology
The Data Visualization Process
Working with Single Data Sources
Using Multiple Data Source
Using Calculations in Tableau
Comparing Measures Against a Goal
Tableau Geo coding, Advanced Mapping
Showing Distributions of Data
Statistics and Forecasting
Dashboard Best Practices
Sharing Your Work
Case Study
Exam/Exam Preparation


50 Hrs - Weekend Classroom Training.

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

Analytical Tool - "R" Software

Get trained in R software to carry out predictive modeling

48 Hrs Self Paced training (On SAS Language)

Get trained on Business Analytics Techniques using most widely used software's in the Industry.

Lab Practical

200 Hrs - Virtual Lab practice (SAS Language - valid till 1 year)

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 the video tutorials.

Real-world Case Studies

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

Unlimited Download Access

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

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.


Certifications that will be issued to Business Analytics students are as under:

  1. Certificate for Participation in Program - Upon completion of the course, students will be awarded Certificate for Participation in Program which will certified EduPristine.
  2. Certificate for Excellence - This certificate from EduPristine will be given to those who have demonstrated excellence throughout the course and procured 60% and above qualifying marks.


Batch Starts From:24th Sep

EduPristine,#44,2nd Floor Regal Complex Outer Circle, Connaught Place

Batch Starts From:27th August

Asha Plaza, Second Floor, #607, 80 Feet Pheripheral Road, Koramangala IV Block, Bangalore – 560095

Batch Starts From: 3rd Sep

Semat Institute of Excellence, 2nd floor tandle heights above moolchand sweets, senapati bapat road Pune Landmark - Opp. WS Bakers

Mumbai Andheri
Batch Starts From:27th August

7th Floor, 702, Raaj Chambers, Old Nagardas Road, Near Andheri Subway, Andheri East 400069

Mumbai Thane
Batch Starts From:1st Oct

1st Floor, Karnavat Classes, Lohar Lane, Opp Nagrik Store, Next to Kunj Vihar, Near Railway Station, Thane West 421504

Batch Starts From: TBD

Redsun Softech Pvt. Ltd. Temple Tower, 672 Anna Salai Nandanam Chennai Tamil Nadu

Batch Starts From:5th November

Hotel Kens Srinagar Colony Plot No.53 Road No.3 Banjara Hills Besides Karnataka Bank, Hyderabad.

Batch Starts From:14th Oct

Saltlake city Behind City Center - 1,
Kolkata -700064

26th August

Business Analytics COURSE FEES

Business Analytics Course Highlights



Rs 32700

Rs 42200

Rs 5000(per module)

10 Days Classroom Training (50 Hours)


48 Hrs Self Paced training (On SAS Language)


Self paced learninig on Base SAS


200 Hours Virtual Lab Practice (On SAS Language - valid till 1 year)


Pre-requisite Video Tutorial on Basic Statistic and Data, along with "R Studio" Software


5 different domain case studies for practice purpose.


Subject wise Video recording


Webinar Video recording for each module


Forum to Discuss with Fellow Students and Experts


Downloadable Course Material


Tool used for Training – Classroom Session - MS Excel, R Studio


24 * 7 Access to Online Materials


3 Days Industrial Case Studies For Practice purpose - (10 Hours)

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3 Days Data Visualization Training - (10 Hours)

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PPT for Data Visualization Preparation

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Data Visualization Assignments for practice

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Excel for project Manager

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Risk Analytics (PRM course)

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HR analytics.

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Advance Excel

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Buy Buy Buy


What's special about Edupristine program on Analytics?

The comprehensive Analytics program from Edupristine has been designed to create complete analytics professionals. It has been designed by experts with inputs from several leading analytics companies. It is delivered by practitioners who have rich experience of having worked for some of the best analytics firms and Fortune 500 clients. And the program uses a case-based approach to learning.


Subjects like BA usually require a lot of time. Covering this topic during the session, which spans over 10 days, was a big task. Today I can say that I have good knowledge of all the key concepts and I can work my way through all the modules and I can go on to build my own modules now.

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

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