# Data Analysis and Decision Making - I

- Institution: IIT Kanpur
- Department: Management
- Teacher: Prof. Raghu Nandan Sengupta
- Level: Undergraduate
- Language: English
- Subjects: Business and management
- Source: [NPTEL](https://nptel.ac.in/courses/110104094)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/110104094)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 01: INTRODUCTION](https://invisiblenetwork.ai/learn/nptel/110104094/4abf361182c6) (Video)
2. [Lecture 02: DATA REPRESENTATION & FREQUENCY](https://invisiblenetwork.ai/learn/nptel/110104094/3fd94c80ffdb) (Video)
3. [Lecture 03: FREQUENCY TABLE & MEAN](https://invisiblenetwork.ai/learn/nptel/110104094/84a65ea1d100) (Video)
4. [Lecture 04: DESCRIPTIVE STATISTICS](https://invisiblenetwork.ai/learn/nptel/110104094/8a2f3c93bffd) (Video)
5. [Lecture 05: INTRODUCTION TO PROBABILITY](https://invisiblenetwork.ai/learn/nptel/110104094/0fd05f645d52) (Video)
6. [Lecture 06: CONDITIONAL PROBABILITY](https://invisiblenetwork.ai/learn/nptel/110104094/775806513f3f) (Video)
7. [Lecture 07: BAYE'S THEOREM AND DISTRIBUTIONS](https://invisiblenetwork.ai/learn/nptel/110104094/20795a0f02e1) (Video)
8. [Lecture 08: BINOMIAL DISTRIBUTION](https://invisiblenetwork.ai/learn/nptel/110104094/f9250fa9785e) (Video)
9. [Lecture 09: HYPERGEOMETRIC, POISSON, NORMAL DISTRIBUTION](https://invisiblenetwork.ai/learn/nptel/110104094/c1faf9134f24) (Video)
10. [Lecture 10: DISTRIBUTION FUNCTION](https://invisiblenetwork.ai/learn/nptel/110104094/6acd7a5cc3a0) (Video)
11. [Lecture 11: NORMAL DISTRIBUTION](https://invisiblenetwork.ai/learn/nptel/110104094/8fef94a80bb6) (Video)
12. [Lecture 12: SAMPLING](https://invisiblenetwork.ai/learn/nptel/110104094/ac33431c3fab) (Video)
13. [Lecture 13: SOME DISTRIBUTIONS](https://invisiblenetwork.ai/learn/nptel/110104094/6710b48471ec) (Video)
14. [Lecture 14: MORE ON DISTRIBUTIONS](https://invisiblenetwork.ai/learn/nptel/110104094/e0c5f2901260) (Video)
15. [Lecture 15: ESTIMATORS](https://invisiblenetwork.ai/learn/nptel/110104094/d874af4d310f) (Video)
16. [Lecture 16: MLE](https://invisiblenetwork.ai/learn/nptel/110104094/91c7cfd73015) (Video)
17. [Lecture 17: STATISTICAL INFERENCE](https://invisiblenetwork.ai/learn/nptel/110104094/9f6cfdc450da) (Video)
18. [Lecture 18: HYPOTHESIS TESTING](https://invisiblenetwork.ai/learn/nptel/110104094/3a50bdec5cbb) (Video)
19. [Lecture 19: HYPOTHESIS TESTING:A](https://invisiblenetwork.ai/learn/nptel/110104094/c55e2bcf0656) (Video)
20. [Lecture 20: HYPOTHESIS TESTING:B](https://invisiblenetwork.ai/learn/nptel/110104094/3f0dab157477) (Video)
21. [Lecture 21: HYPOTHESIS TESTING](https://invisiblenetwork.ai/learn/nptel/110104094/90231b131d30) (Video)
22. [Lecture 22: SIMPLE LINEAR REGRESSION](https://invisiblenetwork.ai/learn/nptel/110104094/149245ddb98a) (Video)
23. [Lecture 23: MULTIPLE LINEAR REGRESSION](https://invisiblenetwork.ai/learn/nptel/110104094/15670c363d09) (Video)
24. [Lecture 24: WEIGHTED MOVING AVERAGES](https://invisiblenetwork.ai/learn/nptel/110104094/419680e3d189) (Video)
25. [Lecture 25: EXPONENTIAL SMOOTHENING](https://invisiblenetwork.ai/learn/nptel/110104094/0554ac32f08e) (Video)
26. [Lecture 26: FORECASTING](https://invisiblenetwork.ai/learn/nptel/110104094/1d7271866e6b) (Video)
27. [Lecture 27:FORECASTING](https://invisiblenetwork.ai/learn/nptel/110104094/d5cf0c83bbcc) (Video)
28. [Lecture 28: DATA PROPERTIES](https://invisiblenetwork.ai/learn/nptel/110104094/93d5318147dc) (Video)
29. [Lecture 29: MULTIVARIATE STATISTICAL ANALYSIS](https://invisiblenetwork.ai/learn/nptel/110104094/e2233af7a950) (Video)
30. [Lecture 30: MULTIVARIATE STATISTICAL ANALYSIS](https://invisiblenetwork.ai/learn/nptel/110104094/bccd19e049e7) (Video)
31. [Lecture 31: Multivariate statistical analysis](https://invisiblenetwork.ai/learn/nptel/110104094/c763c9c3d9fa) (Video)
32. [Lecture 32: Multivariate statistical analysis](https://invisiblenetwork.ai/learn/nptel/110104094/36cf17fa4a65) (Video)
33. [Lecture 33: Multivariate distribution](https://invisiblenetwork.ai/learn/nptel/110104094/25b499848293) (Video)
34. [Lecture 34: Multivariate extreme value distribution](https://invisiblenetwork.ai/learn/nptel/110104094/bf67827436c8) (Video)
35. [Lecture 35: MLE estimates](https://invisiblenetwork.ai/learn/nptel/110104094/d3cf8f65a27d) (Video)
36. [Lecture 36: MLE estimates](https://invisiblenetwork.ai/learn/nptel/110104094/031d152e4bfd) (Video)
37. [Lecture 37: Copula theory](https://invisiblenetwork.ai/learn/nptel/110104094/74fcfbd51792) (Video)
38. [Lecture 38: PCA](https://invisiblenetwork.ai/learn/nptel/110104094/82d43da248a9) (Video)
39. [Lecture 39: PCA](https://invisiblenetwork.ai/learn/nptel/110104094/57b080d9d7d5) (Video)
40. [Lecture 40: Factor analysis](https://invisiblenetwork.ai/learn/nptel/110104094/9688a83f435c) (Video)
41. [Lecture 41: Factor analysis](https://invisiblenetwork.ai/learn/nptel/110104094/7911b1484aa4) (Video)
42. [Lecture 42: Introduction to Utility theory](https://invisiblenetwork.ai/learn/nptel/110104094/c7a5018f8a17) (Video)
43. [Lecture 43: Utility analysis](https://invisiblenetwork.ai/learn/nptel/110104094/b8e58e4090a3) (Video)
44. [Lecture 44: Decision sciences](https://invisiblenetwork.ai/learn/nptel/110104094/3bf720dd63e5) (Video)
45. [Lecture 45: Utility functions](https://invisiblenetwork.ai/learn/nptel/110104094/f3bfac581013) (Video)
46. [Lecture 46: Exponential utility function](https://invisiblenetwork.ai/learn/nptel/110104094/e867d0ee3b92) (Video)
47. [Lecture 47: Risk concepts](https://invisiblenetwork.ai/learn/nptel/110104094/2cb615b5c5d6) (Video)
48. [Lecture 48: Utility theory axioms](https://invisiblenetwork.ai/learn/nptel/110104094/b3fc14f1c84f) (Video)
49. [Lecture 49: Utility analysis](https://invisiblenetwork.ai/learn/nptel/110104094/f6f914209884) (Video)
50. [Lecture 50: Chebyshev's inequality](https://invisiblenetwork.ai/learn/nptel/110104094/360839bfa21d) (Video)
51. [Lecture 51: Loss function](https://invisiblenetwork.ai/learn/nptel/110104094/f8221e5435b8) (Video)
52. [Lecture 52: Loss function](https://invisiblenetwork.ai/learn/nptel/110104094/3b6254abaa26) (Video)
53. [Lecture 53: loss function and MLR](https://invisiblenetwork.ai/learn/nptel/110104094/20fe26e9ab11) (Video)
54. [Lecture 54: MLR](https://invisiblenetwork.ai/learn/nptel/110104094/fa794d40b28e) (Video)
55. [Lecture 55: Loss function](https://invisiblenetwork.ai/learn/nptel/110104094/696e1506487a) (Video)
56. [Lecture 56: Cannonical correlation](https://invisiblenetwork.ai/learn/nptel/110104094/9e1a7bbf6c67) (Video)
57. [Lecture 57: cannonical correlation continued](https://invisiblenetwork.ai/learn/nptel/110104094/210d01e4a0e5) (Video)
58. [Lecture 58: Structural equation modeling (SEM)](https://invisiblenetwork.ai/learn/nptel/110104094/8799545ae8d9) (Video)
59. [Lecture 59: SEM](https://invisiblenetwork.ai/learn/nptel/110104094/fe3c72dd64f9) (Video)
60. [Lecture 60: SEM](https://invisiblenetwork.ai/learn/nptel/110104094/f2992aea09f5) (Video)