Business Analytics Course

Classroom Training

Business Analytics Training
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 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 program 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)

About Dun & Bradstreet

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.

Business Analytics Course key takeaways

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


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

Course Structure

Tools for practice in class: MS Excel & R software

Day 1 & 2 (Online): Basic Stats

Day 3: Introduction and Data Analytics
Introduction to Analytics - Overview • Analytics v/s Analysis
Data - Topic covered • Summarizing Data
• Outlier Treatment
Case: Categorization of data variables Exploring credit card customer database to define variable types & categorizing them.

Day 4 & 5: Linear Regression
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

Day 6 & 7: Logistic Regression
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

Day 8: Decision Tree and Clustering
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

Day 9 & 10: Time Series Modeling
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

Day 11: Logistic Regression
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

Day 12: Market Basket Analysis
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

Course Highlights

Classroom Training(50 Hrs)
Get trained by topic experts with interactive learning in small batches.
Analytical Tool - "R" Software
Get trained in R software to carry out Linear and Logistic regression.
48 Hrs Online Live Instructor base training (On SAS Language, R Studio and MS Excel)
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 be jointly certified from D&B and EduPristine.
  2. Certificate for Excellence - This prestigious joint certificate from D&B and EduPristine will be given to those who have demonstrated excellence throughout the course and procured 60% and above qualifying marks.

Business Analytics Course Batch Dates and Training Locations

(Toll Free)
Bangalore 20th Dec Sanctum Technology Pvt Ltd, #114, Al-Azeem Center, Opp. Raheja Arcade, Above Food World, Koramangla, Banglore - 560095 18002005835
Chennai 06th Dec Redsun Softech PVT. LTD, Temple Tower, 672, Anna Salai, Nandanam, Chennai, Tamil Nadu 600035 18002005835
Delhi 29th Nov EduPristine, #44,2nd Floor Regal Complex Outer Circle Connaught Place 18002005835
Hyderabad 06th Dec SRK Foundation, Plot No. 787, 2nd Floor, Apurupa Turbo Towers, Beside Croma Showroom, Road No. 36, Jubilee Hills, Hyderabad, Telangana 500033 18002005835
Kolkata TBA Camac Street, Kolkata 18002005835
Mumbai 29th Nov 7th Floor, 702, Raaj Chambers, Old Nagardas Road, Near Andheri Subway, Andheri East 400069 18002005835
Pune 29th Nov Symbioisis Centre for Distance Learning 1065 B,Gokhale Cross Road, Model Colony Pune - 411016, Maharashtra, India 18002005835
Business Analytics Course Highlights
  33000 45000 60000
10 Days Classroom Training (50 Hours)
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
Lecture Handout
Downloadable Course Material
Tool used for Training – Classroom Session - MS Excel, R Studio
24 * 7 Access to Online Materials
Certificate of Completion / Excellence
4 Days Industrial Case Studies For Practice purpose -(20 Hours)  
4 Days Data Visualization Training -(20 Hours)  
PPT for Data Visualization Preparation  
Data Visualization Assignments for practice  
Exam Preparation Session
Preparing for Data visualization global Certification
Tableau Desktop version 8. examination:
Exam Registration-$250 Fees (to be paid at the time of Tableau Exam)
48 Hours Live - Instructor Based Training (On SAS Language, MS Excel & R Studio)    
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FAQs about Business Analytics Course by EduPristine

What's special about Edupristine program on Analytics? What is the eligibility for this program? Who should go for this course? What are the prerequisites of this course? Which Tools I will be learning? Is this classroom session? Is the program offered India wide? Is the course conceptual or hands-on? What are some of the job profiles at the entry level in Analytics? What kind of job description companies look forward? Which are the some of the big Analytics companies with operations in India? Why would one go for this field? What is the future scope in this domain? Can and should professionals with experience in some other fields switch to Analytics? Is this a theory oriented program or are will there also be practicals? Do I need to know programming to enroll into this program? I have no IT experience. Is this program for me? What kind of jobs am I likely to get after this training? Who will be teaching the programs?
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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