Foundations of Business Analytics
Get a quick overview of the most popular analytics methodologies & techniques widely-used in the industry .

6 Weeks programme

Contact hours: 48 hours
  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
For Enrollment
Programme Objectives
The “Foundations of Business Analytics” programme has been designed & developed to provide a quick overview to participants of the most popular Business Analytics techniques & methodologies that are in high demand in the industry. The programme offers a structured learning environment to participants interested in carving out a career for themselves in the emergent field of business & data analytics. The programme provides a window to develop awareness of and familiarity with key subject matter in the realm of Business Analytics. Subsequent to the programme, participants will be able to make well-informed decisions as to the areas in which they should build subject-matter expertize, in order to position themselves successfully and exploit the rapidly-growing demand for Business Analytics specialists in the industry.
Who should go for the Programme?
The “Foundations of Business Analytics” programme is an imperative for all participants who wish to explore the prospects of and career opportunities in the Business Analytics industry. The programme offers significant value to all UG/PG students who aspire to enter the rapidly-advancing Business Analytics industry. The programme is also of substantially value to all professionals looking at Business Analytics as their next job/ career. All individuals looking for a quick glimpse into the most widely-used Business Analytics concepts & applications would benefit from the programme.

Key Takeaways

  • Develop awareness of the most popular Business Analytics methodologies & techniques in the industry
  • Appreciate the role played by various Statistical, Mathematical & Econometric models widely used in the industry
  • Identify the scope of Business Analytics in various business domains
  • Understand how Business Analytics can help manage businesses better
  • Select areas to build subject-matter expertize in, so as to exploit rising demand in the industry

Learning Mode

Curriculum Overview

What is Business Analytics? Business Intelligence versus Business Analytics
Descriptive Analytics Predictive Analytics Prescriptive Analytics
Central Tendency & Dispersion Measures of Shape Parameters Correlation Analysis
Sampling & Estimation Testing of Hypotheses Analysis of Variance (ANOVA)
Linear Regression Logistic Regression Credit Card modelling Customer Attrition modelling
Introduction to Hadoop Map Reduce – the paradigm Pig – an overview Hive – an overview
CRISP DM Methodology Dimensionality Reduction
Artificial Neural Networks Random Forest
Time Series Analysis Exponential Smoothing Holt-Winter Model ARIMA Modelling
Qualitative Marketing Research Quantitative Marketing Research
Text Mining – an overview Sentiment Analysis

Are there any Learning Pre-requisites?

There are no specific learning pre-requisites for the programme. Effectiveness of learning through the programme would be enhanced if participants possess good logical & analytical reasoning skills.


Foundations of Business Analytics

MEET Our Consultants & Faculty

Dr. Goutam Das

Ph.D. (Economics) IIFT Delhi, M. Tech (Computer Engg) IIT Kharagpur
B.E. (Electronics & Comm) V-NIT Nagpur
30+ Years of experience in IT and Analytics [Business Analytics, Big Data Analytics, AI Machine Learning.
Ex-Cheif Data Scientist at Power Foundation of India...

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Dr. Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University.
B. Stats. & M. Stats., Indian Statistical Institute, Calcutta.
Ex-Chief Scientist & Founder, PlanetRisk Inc, Bethesda, US.
20+ years of industry exp. with Morgan Stanley, Barclays Capital etc.

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Mr. Aditya Biswas

B. Tech. (Mechanical) & M. Tech (Industrial Engg. & OR) IIT, Kharagpur.
Ex-Principal Consultant in TCS, Head of IT in Allahabad Bank.
Specialized in Process Optimization, R & D and Management Consulting.
30+ yrs of industry exp.

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Gautam Mukherjee

B.Tech (Electronics & Comm) IIT Kharagpur, M.Tech (Electrical Engg) IIT Madras.
30+ Years of experience in R&D in IT, Telecom. Ex Scientist at DRDO

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Somnath Sinha

B.Tech. (Electrical Engg), IIT Bombay.
PGDM, IIM Calcutta.
20+ yrs with IBM as IT Services Leader, CIO, HR Director &s Director, Integrated Operations.
Partnered with Accenture, IBM, PwC, KPMG, E&Y, etc.
30+ years of industry exp.

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Prof. B. B. Chakrabarti

Ph.D. in Economics, Gold Medalist PGDM, IIM Calcutta.
Gold Medalist - BE, Jadavpur Univ.
20+ yrs as a Renowned Prof of Finance at IIM Calcutta.
24+ years of Industry experience with United Nations, Deustche Bank etc.

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