# Practitioners Course in Descriptive,Predictive and Prescriptive Analytics

- Institution: IIT Kanpur
- Department: Management
- Teacher: Prof. Deepu Philip / Prof. Amandeep Singh / Prof. Sanjeev Newar
- Level: Undergraduate
- Language: English
- Subjects: Business and management
- Source: [NPTEL](https://nptel.ac.in/courses/110104086)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/110104086)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 1: Introduction](https://invisiblenetwork.ai/learn/nptel/110104086/6067bf9de7e3) (Video)
2. [Lecture 2: Analytics for Decision Making Support](https://invisiblenetwork.ai/learn/nptel/110104086/0fd9001e9392) (Video)
3. [Lecture 3: Decision Needs and Analytics](https://invisiblenetwork.ai/learn/nptel/110104086/b2567129b843) (Video)
4. [Lecture 4: Systems, Models and Modeling Process](https://invisiblenetwork.ai/learn/nptel/110104086/c64eb66dda9d) (Video)
5. [Types of Models](https://invisiblenetwork.ai/learn/nptel/110104086/c5bac6f7fece) (Video)
6. [Data and its Types](https://invisiblenetwork.ai/learn/nptel/110104086/bedecc995b5e) (Video)
7. [Overview of Probability](https://invisiblenetwork.ai/learn/nptel/110104086/923c8130334f) (Video)
8. [Lecture 8: Statistics and Analytics (Private)](https://invisiblenetwork.ai/learn/nptel/110104086/affc0a5c7f4e) (Video)
9. [Lecture 9: Descriptive Statistics - Graphical Tools (Private)](https://invisiblenetwork.ai/learn/nptel/110104086/b2a4981db9bd) (Video)
10. [Lecture 10: Frequency Distribution & Histogram](https://invisiblenetwork.ai/learn/nptel/110104086/22612be83df2) (Video)
11. [Lecture 11: Stem and Leaf Plot](https://invisiblenetwork.ai/learn/nptel/110104086/ac4964648034) (Video)
12. [Lecture 12: Box Plots](https://invisiblenetwork.ai/learn/nptel/110104086/950f7b2496e7) (Video)
13. [Lecture 13: Business Intelligence & Analytics](https://invisiblenetwork.ai/learn/nptel/110104086/782b3f194b6c) (Video)
14. [Lecture 14: Normal Distribution](https://invisiblenetwork.ai/learn/nptel/110104086/291335510bd5) (Video)
15. [Lecture 15: Sampling](https://invisiblenetwork.ai/learn/nptel/110104086/60da95a0e2f5) (Video)
16. [Lecture 16: Sampling Techniques](https://invisiblenetwork.ai/learn/nptel/110104086/b4b0e7c7b764) (Video)
17. [Lecture 17: Hypothesis Testing](https://invisiblenetwork.ai/learn/nptel/110104086/3aee6f685edd) (Video)
18. [Lecture 18: Hypothesis Testing continued](https://invisiblenetwork.ai/learn/nptel/110104086/c07cfd1c1b93) (Video)
19. [Lecture 19: Machine Learning](https://invisiblenetwork.ai/learn/nptel/110104086/45bc4ead7362) (Video)
20. [Lecture 20: Correlation](https://invisiblenetwork.ai/learn/nptel/110104086/e44c92f33ed3) (Video)
21. [Lecture 21: Correlation continued](https://invisiblenetwork.ai/learn/nptel/110104086/2ef2186b473a) (Video)
22. [Lecture 22: Regression](https://invisiblenetwork.ai/learn/nptel/110104086/622f1bd1d63c) (Video)
23. [Lecture 23: Analysis of Varience (ANOVA) Part 1](https://invisiblenetwork.ai/learn/nptel/110104086/7eaeecd4d55e) (Video)
24. [Lecture 24: Analysis of Varience (ANOVA) Part 2](https://invisiblenetwork.ai/learn/nptel/110104086/e1ad697feddc) (Video)
25. [Lecture 25: Machine Learning Part 2](https://invisiblenetwork.ai/learn/nptel/110104086/05ff4239528b) (Video)
26. [Lecture 26: Machine Learning Part 3](https://invisiblenetwork.ai/learn/nptel/110104086/2dac62752edf) (Video)
27. [Lecture 27: Machine Learning Part 4](https://invisiblenetwork.ai/learn/nptel/110104086/53e0be6be3fe) (Video)
28. [Lecture 28: Machine Learning Part 5](https://invisiblenetwork.ai/learn/nptel/110104086/df5126cd5885) (Video)
29. [Live Session 10-12-2021](https://invisiblenetwork.ai/learn/nptel/110104086/6067bf9de7e3-2) (Video)