Business Analytics detailed syllabus for Computer & Communication Engineering (CCE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CCE 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 & Communication Engineering 5th Sem scheme and its subjects, do visit CCE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to CCE 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 -T ypes 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 – T raining 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) ii) Perform data import/export operations for different file formats.
- 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. 103
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 & Communication Engineering 5th Sem, visit CCE 5th Sem subject syllabuses for 2021 regulation.
For all Computer & Communication Engineering results, visit Anna University CCE all semester results direct link.