Business Analytics detailed syllabus for Computer Science & Design (CSD) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CSD 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 & Design 5th Sem scheme and its subjects, do visit CSD 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to CSD 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
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
BUSINESS INTELLIGENCE
Data Warehouses and Data Mart – Knowledge Management -Types of Decisions – Decision Making Process – Decision Support Systems – Business Intelligence -OLAP – Analytic functions
Unit III
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Unit IV
HR & SUPPLY CHAIN ANALYTICS
Human Resources – Planning and Recruitment – Training and Development – Supply chain network – Planning Demand, Inventory and Supply – Logistics – Analytics applications in HR & Supply Chain – Applying HR Analytics to make a prediction of the demand for hourly employees for a year.
Unit V
MARKETING & SALES ANALYTICS
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:
Use MS-Excel and Power-BI to perform the following experiments using a Business data set, and make presentations.
Students may be encouraged to bring their own real-time socially relevant data set.
I. Cycle – MS Excel
- Explore the features of Ms-Excel.
- (i) Get the input from user and perform numerical operations (MAX, MIN, AVG, SUM, SQRT, ROUND)
- Perform statistical operations – Mean, Median, Mode and Standard deviation, Variance, Skewness, Kurtosis
- Perform Z-test, T-test & ANOVA
- Perform data pre-processing operations i) Handling Missing data ii) Normalization
- Perform dimensionality reduction operation using PCA, KPCA & SVD
- Perform bivariate and multivariate analysis on the dataset.
- Apply and explore various plotting functions on the data set.
ii) Perform data import/export operations for different file formats.
II. Cycle – Power BI Desktop
- Explore the features of Power BI Desktop
- Prepare & Load data
- Develop the data model
- Perform DAX calculations
- Design a report
- Create a dashboard and perform data analysis
- Presentation of a case study
Course Outcomes:
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Text Books:
- R. Evans James, Business Analytics, 2nd Edition, Pearson, 2017
- R N Prasad, Seema Acharya, Fundamentals of Business Analytics, 2nd Edition, Wiley, 2016
- Philip Kotler and Kevin Keller, Marketing Management, 15th edition, PHI, 2016
- VSP RAO, Human Resource Management, 3rd Edition, Excel Books, 2010.
- Mahadevan B, “Operations Management -Theory and Practice”,3rd Edition, Pearson Education,2018.
For detailed syllabus of all the other subjects of Computer Science & Design 5th Sem, visit CSD 5th Sem subject syllabuses for 2021 regulation.
For all Computer Science & Design results, visit Anna University CSD all semester results direct link.