NPTEL Data Analytics with Python Week 9 Assignment Solutions || Jan- Apr 2024
Course: Data Analytics with Python
Offered by: IIT Roorkee
Duration: 12 weeks
Start Date:22 Jan 2024
End Date: 12 Apr 2024
Exam Date: 27 Apr 2024 IST
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📝Course layout
Week 1 : Introduction to data analytics and Python fundamentals
Week 2 : Introduction to probability
Week 3 : Sampling and sampling distributions
Week 4 : Hypothesis testing
Week 5 : Two sample testing and introduction to ANOVA
Week 6 : Two way ANOVA and linear regression
Week 7 : Linear regression and multiple regression
Week 8 : Concepts of MLE and Logistic regression
Week 9 : ROC and Regression Analysis Model Building
Week 10: c2 Test and introduction to cluster analysis
Week 11: Clustering analysis
Week 12: Classification and Regression Trees (CART)
📚Books and references
1. McKinney, W. (2012). Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.".
2. Swaroop, C. H. (2003). A Byte of Python. Python Tutorial.
3. Ken Black, sixth Editing. Business Statistics for Contemporary Decision Making. “John Wiley & Sons, Inc”.
4. Anderson Sweeney Williams (2011). Statistics for Business and Economics. “Cengage Learning”.
5. Douglas C. Montgomery, George C. Runger (2002). Applied Statistics & Probability for Engineering. “John Wiley & Sons, Inc”
6. Jay L. Devore (2011). Probability and Statistics for Engineering and the Sciences. “Cengage Learning”.
7. David W. Hosmer, Stanley Lemeshow (2000). Applied logistic regression (Wiley Series in probability and statistics). “Wiley-Interscience Publication”.
8. Jiawei Han and Micheline Kamber (2006). Data Mining: Concepts and Techniques. “
9. Leonard Kaufman, Peter J. Rousseeuw (1990). Finding Groups in Data: An Introduction to Cluster Analysis. “John Wiley & Sons, Inc”.
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