6th Sem, CS&BS

CW3611: Business Analytics Laboratory syllabus for CS&BS 2021 regulation

Business Analytics Laboratory detailed syllabus for Computer Science & Business Systems (CS&BS) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the CS&BS 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 & Business Systems 6th Sem scheme and its subjects, do visit CS&BS 6th Sem 2021 regulation scheme. The detailed syllabus of business analytics laboratory is as follows.

Course Objectives:

  • Implement various machine learning techniques for predictive analysis
  • Learn the various software development methodologies
  • Learn predictive analysis in HR, supply chain
  • Learn predictive analysis in marketing and sales

List of Experiments:

  1. Implement Machine learning techniques for Predictive analytics.
  2. Predict the Customer Credit Risk for Credit card data-set using Linear Regression
  3. Apply HR Analytics to make a prediction of the demand for hourly-employees for the following month or for the next few years
  4. Apply analytics for forecasting and inventory planning for a large retailer.
  5. Perform predictive analytics for customers’ behaviour in marketing and sales

List of Equipments

  1. Systems with R, R Studio (Additional libraries required)

Course Outcomes:

  1. Implement Machine learning techniques for Predictive analytics.
  2. Analyse prediction using Linear Regression
  3. Perform analytics for forecasting and inventory planning for a large retailer.
  4. Apply predictive analysis in HR, supply chain
  5. Apply predictive analysis in marketing and sales

For detailed syllabus of all other subjects of Computer Science & Business Systems, 2021 regulation curriculum do visit CS&BS 6th Sem subject syllabuses for 2021 regulation.

For all Computer Science & Business Systems results, visit Anna University CS&BS all semester results direct link.

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