UNIQUE SERIES AKTU Syllabus
BCBS070

Introduction to Business Analytics & Data Science

L-T-P3-0-0 Credits3 Session2025-26 TypeTheory
Appears in 1 semester

B.Tech Computer Science & Business Systems · Sem 7 (Departmental Elective-IV)

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Syllabus

5 units · 40 lecture hours
Unit1

Unit 1: Introduction

8 hrs

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

Unit2

Unit 2: Data

8 hrs

Data Collection, Data Management, Big Data Management, Organization/sources of data, Types 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, Hypothesis and Modeling, Evaluation and Interpretation, Deployment, Operations, Optimization.

Unit3

Unit 3

8 hrs

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.

Unit4

Unit 4: Introduction to Machine Learning

8 hrs

History and Evolution, AI Evolution, Statistics V/S Data Mining V/S Data Analytics V/S, Data Science, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Frameworks for building Machine Learning Systems.

Unit5

Unit 5: Application of Business Analysis

8 hrs

Retail Analytics, Marketing Analytics, Financial Analytics, Healthcare Analytics, Supply Chain Analytics.

Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Define the basics of business analysis and Data ScienceK1
  2. CO2Explain data management and handling and Data Science Project Life CycleK2
  3. CO3Describe the data mining concept and its TechniquesK2
  4. CO4Apply the machine learning conceptK3
  5. CO5Describe the application of business analysis in different domainK2

Text books

  1. B. Pochiraju and S. Seshadri, “Essentials of Business Analytics: An Introduction to the Methodology and Its Applications”, 1st ed. Springer International Publishing, 2019.
  2. A. C. Müller and S. Guido, “Introduction to Machine Learning with Python: A Guide for Data Scientists”, 1st ed. O’Reilly Media, 2016.
  3. L. Igual and S. Seguí, “Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications”, 2nd ed. Springer Cham, 2024.
  4. Pang-Ning Tan, Michael Steinbach, Vipin Kumar, “Introduction to Data Mining”, Pearson Education India, 2021.
  5. G. Koole, “An Introduction to Business Analytics: An Introduction to the Methodology and Its Application”, 1st ed. Lulu Press, 2019.

Official AKTU syllabus

This subject is on page 6 of the original AKTU PDF.

Official AKTU syllabus PDF ↗