CCW331: Business Analytics syllabus for CSE 2021 regulation (Professional Elective-I)

Business Analytics detailed syllabus for Computer Science & Engineering (CSE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Computer Science & Engineering 5th Sem scheme and its subjects, do visit CSE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to CSE Professional Elective-I syllabus scheme. The detailed syllabus of business analytics is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO BUSINESS ANALYTICS 6 Analytics and Data Science – Analytics Life Cycle – Types of Analytics – Business Problem Definition – Data Collection – Data Preparation – Hypothesis Generation – Modeling – Validation and Evaluation – Interpretation – Deployment and Iteration

Unit II

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Unit III

BUSINESS FORECASTING 6 Introduction to Business Forecasting and Predictive analytics – Logic and Data Driven Models -Data Mining and Predictive Analysis Modelling -Machine Learning for Predictive analytics.

Unit IV

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Unit V

MARKETING & SALES ANALYTICS 6 Marketing Strategy, Marketing Mix, Customer Behaviour -selling Process – Sales Planning -Analytics applications in Marketing and Sales – predictive analytics for customers’ behaviour in marketing and sales.

List of Experiments:

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I Cycle – Ms Excel

1. Explore the features of Ms-Excel.
2. 1. Get the input from user and perform numerical operations (MAX, MIN, AVG, SUM, SQRT, ROUND)
   2. Perform data import/export operations for different file formats.
3. Perform statistical operations – Mean, Median, Mode and Standard deviation, Variance, Skewness, Kurtosis
4. Perform Z-test, T-test & ANOVA
5. Perform data pre-processing operations i) Handling Missing data ii) Normalization
6. Perform dimensionality reduction operation using PCA, KPCA & SVD
7. Perform bivariate and multivariate analysis on the dataset.
8. Apply and explore various plotting functions on the data set.

II Cycle – Power Bi Desktop

1. Explore the features of Power BI Desktop
2. Prepare & Load data
3. Develop the data model
4. Perform DAX calculations
5. Design a report
6. Create a dashboard and perform data analysis
7. Presentation of a case study

Course Outcomes:

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Text Books:

1. R. Evans James, Business Analytics, 2nd Edition, Pearson, 2017
2. R N Prasad, Seema Acharya, Fundamentals of Business Analytics, 2nd Edition, Wiley, 2016
3. Philip Kotler and Kevin Keller, Marketing Management, 15th edition, PHI, 2016
4. VSP RAO, Human Resource Management, 3rd Edition, Excel Books, 2010.
5. Mahadevan B, Operations Management -Theory and Practice,3rd Edition, Pearson Education,2018.

For detailed syllabus of all the other subjects of Computer Science & Engineering 5th Sem, visit CSE 5th Sem subject syllabuses for 2021 regulation.

For all Computer Science & Engineering results, visit Anna University CSE all semester results direct link.