# Introduction to Data Analytics

- Institution: IIT Madras
- Department: Management
- Taught by: Prof. Nandan Sudarsanam, Prof. Balaraman Ravindran
- Level: Undergraduate
- Language: English
- Subjects: Business and management
- Source: [NPTEL](https://nptel.ac.in/courses/110106072)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/110106072)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Course Overview](https://invisiblenetwork.ai/learn/nptel/110106072/93d2b376f1c4) (Video)
2. [Course Overview (cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/5f9db9c4ffb9) (Video)
3. [Descriptive Statistics - Graphical Approaches](https://invisiblenetwork.ai/learn/nptel/110106072/10a9bb5e1af6) (Video)
4. [Descriptive Statistics - Measures of Central Tendency](https://invisiblenetwork.ai/learn/nptel/110106072/a25bb7ef387e) (Video)
5. [Descriptive Statistics - Measures of Dispersion](https://invisiblenetwork.ai/learn/nptel/110106072/17c689025694) (Video)
6. [Random Variables and Probability Distributions](https://invisiblenetwork.ai/learn/nptel/110106072/ed13df82ea11) (Video)
7. [Probability Distributions(cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/7f417c99c700) (Video)
8. [Probability Distributions(cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/9e92304f84df) (Video)
9. [Inferential Statistics - Motivation](https://invisiblenetwork.ai/learn/nptel/110106072/d91dc945230f) (Video)
10. [Inferential Statistics - Single sample tests](https://invisiblenetwork.ai/learn/nptel/110106072/9a6ad7ef716b) (Video)
11. [Two Sample tests](https://invisiblenetwork.ai/learn/nptel/110106072/3e9331375d9b) (Video)
12. [Type 1 and Type 2 Errors](https://invisiblenetwork.ai/learn/nptel/110106072/28fcdd0eddea) (Video)
13. [Confidence Intervals](https://invisiblenetwork.ai/learn/nptel/110106072/d8097a0a4f6c) (Video)
14. [ANOVA and Test of Independence](https://invisiblenetwork.ai/learn/nptel/110106072/f11c07b476b9) (Video)
15. [Short Introduction to Regression](https://invisiblenetwork.ai/learn/nptel/110106072/94c73e13021e) (Video)
16. [Introduction to Machine Learning](https://invisiblenetwork.ai/learn/nptel/110106072/5ec03679a8fe) (Video)
17. [Supervised Learning](https://invisiblenetwork.ai/learn/nptel/110106072/b917d8bfe032) (Video)
18. [Unsupervised Learning](https://invisiblenetwork.ai/learn/nptel/110106072/294d95e10b1e) (Video)
19. [Ordinary Least Squares Regression](https://invisiblenetwork.ai/learn/nptel/110106072/04aab84f964c) (Video)
20. [Simple and Multiple Regression in Excel and Matlab](https://invisiblenetwork.ai/learn/nptel/110106072/f8a8b69bc917) (Video)
21. [Regularization/ Coefficients Shrinkage](https://invisiblenetwork.ai/learn/nptel/110106072/cb375e6eade9) (Video)
22. [Data Modelling and Algorithmic Modelling Approaches](https://invisiblenetwork.ai/learn/nptel/110106072/ad03a7818180) (Video)
23. [Tutorial on Weka](https://invisiblenetwork.ai/learn/nptel/110106072/33618d9144c9) (Video)
24. [Logistic Regression](https://invisiblenetwork.ai/learn/nptel/110106072/e4250be6b77c) (Video)
25. [Training a Logistic Regression Classifier](https://invisiblenetwork.ai/learn/nptel/110106072/9c4123cf019e) (Video)
26. [Classification and Regression Trees](https://invisiblenetwork.ai/learn/nptel/110106072/e92bd92f6c13) (Video)
27. [Classification and Regression Trees(cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/8e41880f5a94) (Video)
28. [Bias Variance Dichotomy](https://invisiblenetwork.ai/learn/nptel/110106072/6c312c7c5a6b) (Video)
29. [Model Assessment and Selection](https://invisiblenetwork.ai/learn/nptel/110106072/34dee868ceff) (Video)
30. [Support Vector Machines](https://invisiblenetwork.ai/learn/nptel/110106072/b163903b706d) (Video)
31. [Support Vector Machines(cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/a9ea4c60ad2c) (Video)
32. [Support Vector Machines for Non Linearly Separable Data](https://invisiblenetwork.ai/learn/nptel/110106072/c0adf3f7937a) (Video)
33. [Support Vector Machines and Kernel Transformations](https://invisiblenetwork.ai/learn/nptel/110106072/d579efc63a50) (Video)
34. [Tutorial on Decision Trees](https://invisiblenetwork.ai/learn/nptel/110106072/ef6d84680886) (Video)
35. [Ensemble Methods and Random Forests](https://invisiblenetwork.ai/learn/nptel/110106072/c5e0f9e062f6) (Video)
36. [Artificial Neural Networks](https://invisiblenetwork.ai/learn/nptel/110106072/94ce688b3e4f) (Video)
37. [Artificial Neural Networks(cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/bc35de332c69) (Video)
38. [Deep Learning](https://invisiblenetwork.ai/learn/nptel/110106072/c80e332dc6b0) (Video)
39. [Associative Rule Mining](https://invisiblenetwork.ai/learn/nptel/110106072/16612c535b26) (Video)
40. [Association Rule Mining (cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/dc26b6dccd0e) (Video)
41. [Big Data, A small introduction](https://invisiblenetwork.ai/learn/nptel/110106072/6c6e50572482) (Video)
42. [Big Data - A small introduction (cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/cb36b67d45dc) (Video)
43. [Clustering Analysis](https://invisiblenetwork.ai/learn/nptel/110106072/29e2bbc50fb7) (Video)
44. [Clustering Analysis (cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/f1ddacc7595f) (Video)
45. [Introduction to Experimentation and Active Learning](https://invisiblenetwork.ai/learn/nptel/110106072/93a006cb4e68) (Video)
46. [Introduction to Experimentation and Active Learning(cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/b77183315090) (Video)
47. [An Introduction to Online Learning - Reinforcement Learning](https://invisiblenetwork.ai/learn/nptel/110106072/be08e5fd9b62) (Video)
48. [An Introduction to Online Learning - Reinforcement Learning (cont\'d)](https://invisiblenetwork.ai/learn/nptel/110106072/8cb5bc3e26f5) (Video)
49. [Summary+ Insights into the Final Exam](https://invisiblenetwork.ai/learn/nptel/110106072/d178d9eff816) (Video)