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Course Detail

Course Name Business Analytics
Course Code 23DLS644
Semester 2
Credits 4


Reference Book

1. Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Pearson
Education India
2. An Introduction to Business Analytics, Ger Koole,, 2019.

Course Objectives

1. Understanding the Role of Business Analyst and Data Science in business.
2. Understanding the basic concept of data management and data mining techniques
3. To understand the basic concept of machine learning
4. To understand the application of business analysis.

Introduction: What is business analytics? Historical Overview of data analysis, Data Scientist vs.
Data Engineer vs. Business Analyst, Career in Business Analytics, What is data science, Why Data Science, Applications for data science, Data Scientists Roles and Responsibility

Data: Data Collection, Data Management, Big Data Management, Organization/sources of data,
Importance of data quality, Dealing with missing or incomplete data, Data Visualization, Data
Classification Data Science Project Life Cycle: Business Requirement, Data Acquisition, Data Preparation.

Introduction to Data Mining, The origins of Data Mining, Data Mining Tasks, OLAP and
Multidimensional data analysis, Basic concept of Association Analysis and Cluster Analysis.

Application of Business Analysis: Retail Analytics, Marketing Analytics, Financial Analytics,
Healthcare Analytics, Supply Chain Analytics.

Text Books

1. Essentials of Business Analytics: An Introduction to the methodology and its application,
Bhimasankaram Pochiraju, SridharSeshadri, Springer
2. Introduction to Machine Learning with Python: A Guide for Data Scientists 1st Edition,
by Andreas C. Müller, Sarah Guido, O’Reilly
3. Introduction to Data Science, Laura Igual Santi Seguí, Springer

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