IM3711 Data Analytics Laboratory Syllabus:

IM3711 Data Analytics Laboratory Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

This course aims to:
• Design a data analysis strategy that answers a hypothesis, including specifications for data elements, requirements of the statistic, and limitations to the interpretation.
• Understand how to select appropriate techniques
• Understand how to conduct a variety of statistical analyses, including testing of statistical assumptions, data transformations, and validation of statistical findings
• Understand how to interpret the results of statistical analyses.
• Understand how to present the results of statistical analyses.

Students will perform analysis of data in the following topics using Data Analysis package
1. Control Charts
2. Correlation Analysis
3. Simple Regression
4. Multiple Regression
5. Single factor Experiment
6. Factorial experiment
7. Factor Analysis
8. Discriminant Analysis
9. Cluster Analysis
10. Estimation of model parameters of the system to predict Reliability

TOTAL: 60 PERIODS
COURSE OUTCOMES:

Upon completion of the laboratory course, the students will
CO1: Able to independently formulate, perform and assess hypothesis
CO2: Able to select appropriate techniques
CO3: Able to apply various data analysis techniques
CO4: Able to interpret the results
CO5: Able to present the results properly to extract meaningful information from data sets for effective decision making