Programme Content
Data and data literacy in organizations
Types of analytics – descriptive, predictive and prescriptive
Use cases of Analytics - An introduction
Good and bad Analytics
Deriving organization’s data science objectives from strategic business objectives
Building hypothesis for organizational decision making: use cases from different verticals
Limitation of analytics – where intuition still wins!
Case Study: Harvard article on “Data Science and Art of Persuasion”
Describing and presenting data
Applying measures of central tendency in business metrics
Probability and its application in business
Sampling theories and their application in business
Hypothesis testing, use cases in business
Analysis of variance, use cases in business
Correlation and regression, use cases in business
Principal types of algorithms
Application of Bivariate and Multiple linear regression models
Classification algorithms – concept and use cases
Clustering algorithms – concept and use cases
Design of recommendation system
Modeling approach to decision making
Linear Programming approach to solve business problem, e.g.
Make-Buy decision
Investment decision
Blending problem
Production and inventory planning problem
Multi-period cash flow problem
Sensitivity Analysis and Simplex Method
Data management and querying
Data extraction, transformation and loading (ETL) techniques
Fundamentals of data warehouse
Overview of technology stack to support analytics
Scope and benefits of digital media analytics
Types of digital media analytics
Consumer insights using web and mobile app analytics
Social media analytics
Overview Text mining and sentiment analysis
Online reputation management
Understanding Big Data
Understanding application of Big Data
Big Data application tools – Hadoop, MapReduce
Exploiting Big Data for business decision
Example from Facebook & Goggle
Fundamentals of Deep Learning
Deep, Convolution and Recurrent Neural Network – concept
Use cases of Deep Learning in different industry verticals
Fundaments of Reinforcement Learning
Use cases of Reinforcement Learning in industry
The art of story-telling with data
Data visualization – concept and application
Using self service data visualization tools (e.g. Tableau) to generate management reports and dashboards
Visualizing data using infographics
Evaluating an Analytics report
Data Science project management methods and governance
Application of Agile
Managing organizational change
Developing and managing a data science project contract
When is investment in data science justified and when not?
Identifying and quantifying benefits of a data science for an organization
Estimating investments in a data science project
Estimating return on investment in a data science project
New organization roles and governance for a data driven organization
Recruiting and retaining data science talent pool
Scaling a data team
Vendor eco-system for data science services
Ethical Concern on data privacy and trust in Analytics
Methods to preserve privacy of sensitive data
Legal issues on data privacy
Recent case studies
