Program Overview

Data Analytics for Business is the first step to a data oriented decision making at work. As the world of business centers around data to make sense, move, grow and thrive in today’s environment; this course helps entry to mid-level managers take that necessary first step to becoming data driven leaders at work.

Course/Program Objectives

Introduce basic concepts of data analytics and machine learning and few relevant tools, namely, RStudio, Tableau, Excel. Discuss case studies of applications of descriptive, predictive and prescriptive analytics in business scenarios. Build necessary working knowledge of managers to adopt data analytics in business analysis and decision making.

Course/Program Content

• Business analytics basics
• Machine learning basics
• Descriptive/Predictive/Prescriptive analytics
• Case studies/Examples
• Hands-on RStudio, Tableau, Excel

Program Pedagogy

Lectures, Assignments, Group work, Case discussion, Project, Quiz

Ideal Participant Profile

Junior and Mid-level managers

Learning Outcomes

• Understand basic concepts of analytics and machine learning
• Learn how to apply data analytics in business decision making
• Learn how to use popular analytics tools, namely, RStudio/Python/Tableau/Excel for data analysis

Faculty Profile

Prof. Swapnajit Chakraborti

Professor - Operations at FLAME University

Cancellation

In the unforeseen event of Program Cancellation by the Centre, participants will be refunded the entire amount of Program Fees. If the cancellation is requested by the participant then the Program Fee will be withheld as credit for the next schedule of the same program or an alternative program that the candidate opts for.