Foundations of Business Analytics - insAnalytics

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

After successful completion of the “Foundations of Business Analytics” programme, participants will be able to:

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

Introduction to Business Analytics

What is Business Analytics? Business Intelligence versus Business Analytics

Different Types of Business Analytics

Descriptive Analytics Predictive Analytics Prescriptive Analytics

Probability Theory & Probability Distributions

Programming in R

Descriptive Analytics

Central Tendency & Dispersion Measures of Shape Parameters Correlation Analysis

Analytical Inference

Sampling & Estimation Testing of Hypotheses Analysis of Variance (ANOVA)

Predictive Modelling

Linear Regression Logistic Regression Credit Card modelling Customer Attrition modelling

Introduction to Big Data Analytics

Introduction to Hadoop Map Reduce – the paradigm Pig – an overview Hive – an overview

Introduction to Data Mining

CRISP DM Methodology Dimensionality Reduction

Introduction to Machine Learning

Artificial Neural Networks Random Forest

Introduction to Business Forecasting

Time Series Analysis Exponential Smoothing Holt-Winter Model ARIMA Modelling

Introduction to Marketing Research

Qualitative Marketing Research Quantitative Marketing Research

Introduction to Social Media Analytics

Text Mining – an overview Sentiment Analysis

Case studies/ Use cases

Projects/ Assignments

Similar Training Programmes

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Foundations of Business Analytics

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.

For Enrollment

Foundations of Business Analytics

MEET Our Consultants & Faculty

Dr. Goutam Das

30+ years of industry experience across multiple sectors including Finance, Energy, Telecom, Retail, Media, Manufacturing & Automobiles.

Prof (Dr.) B B Chakraborty

40+ years of experience in Industry and Academics, serving as consultant to major global organizations and Professor at leading IIMs.

Dr. Nidhan Choudhuri

25+ years of global experience in Financial Modeling, Risk Analysis, and Quantitative Trading, with roles at Barclays and Morgan Stanley.

Dr. Ayan Chatterjee

8+ years of R&D experience in AI, Machine Learning, and Medical Image Processing with NVIDIA and AstraZeneca.

Mr. Jayanta Adhikari

30+ years of experience in BFSI and Retail sectors, specializing in Financial Analytics and Digital Transformation.

Ms. Amrita Saha

15 years of experience in AI, GenAI, Big Data Analytics, and Econometrics across BFSI and Energy sectors.

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

6 Weeks programme

Key Takeaways