Data Analytics for Business Strategy: Essential Tools and Applications 

offered by IIM Kozhikode

Module 1: Data and Sources Of Data

Types of data: qualitative and quantitative/primary vs. secondary

Use of various data collection techniques across various business domains

Qualitative data collection techniques (FGDs and Depth interviews)

Quantitative data collection techniques (Survey)

Module 2: Data Analytics Fundamentals

Use of various software for data analytics

Introduction to R/IBM SPSS

Data coding and preliminary data analysis

Data cleaning and generating insights through graphics/Visualisation

Generating insights through descriptive analytics

Module 3: Understanding Statistics for Business Applications

Introduction to statistics and its applications using software

Descriptive statistics and its applications

Inferential statistics and test of hypothesis

Module 4: Data Mining and Predictive Modelling Algorithms for Business Data

Supervised/unsupervised learning algorithms

Regression Analysis

Logistic Regression

KNN

Decision tree

Random Forest

Module 5: Data Analytics for Product Strategy Formulation

Developing product introduction strategy

Formulating the data driven pricing strategy

Analyse profitability potential for new products

Estimating the potential volume and new product demand

Module 6: Data Analytics for Marketing and Customer Analytics

Expected profitability of newly acquired customers

Customer level purchase information for customer retention

Predicting customer churn

Improving customer satisfaction through data driven insights

Module 7: Data Analytics for Financial Decisions

Fundamentals of Finance & Financial Analytics

Data analytics for financial strategy formulation

Financial modelling and Prediction

Stock Price Forecasting

Module 8: Data Analytics for Digital/ Social Media

Text mining for business insights

Deciding the media strategy

Publisher optimisation

Campaign optimisation