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Module Details

Course : P-16.data Analytics

Subject : Computer Science

No. of Modules : 38

Level : PG

Source : E-PG Pathshala

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Sr. No. Title E-Text Video URL Metadata
1 M-03. evolution of analytical scalability - Click Here
2 M-13. foundations γΆβ€β“ probabilistic and bayesian approaches - Click Here
3 M-11. foundations γΆβ€β“ bivariate and multivariate analysis - Click Here
4 M-12. foundations γΆβ€β“ regression analysis - Click Here
5 M-10. foundations γΆβ€β“ univariate analysis - Click Here
6 M-04.analytic processes and its evolution - Click Here
7 M-07.statistical inferenceing - Click Here
8 M-05. analytics γΆβ€β“ how it must be? - Click Here
9 M-06.sampling for analytics - Click Here
10 M-25. data analytics γΆβ€β“ association rule mining - iii - Click Here
11 M-24. data analytics γΆβ€β“ association rule mining - ii - Click Here
12 M-31. nosql - Click Here
13 M-23. data analytics γΆβ€β“ association rule mining - i - Click Here
14 M-30. dimensionality reduction γΆβ€β“ ii - Click Here
15 M-29. dimensionality reduction i - Click Here
16 M-26. clustering - i - Click Here
17 M-28. clustering - 3 - Click Here
18 M-27. clustering - 2 - Click Here
19 M-02. big data approach to analytics and web-the actual big data - Click Here
20 M-01. introduction to analytics and big data - Click Here
21 M-17. data analysis foundations γΆβ€β“ neural networks - Click Here
22 M-18. data analytics - mining streams - i - Click Here
23 M-22. data analytics - mining streams γΆβ€β“ real time application - - Click Here
24 M-15. data analysis foundations γΆβ€β“ principal component analysis - - Click Here
25 M-14. data analysis foundations γΆβ€β“ support vector machines - - Click Here
26 M-16. data analysis foundations γΆβ€β“ fuzzy logic - - Click Here
27 M-21. data analytics - mining streams - part iv - - Click Here
28 M-20. data analytics - mining streams-part iii - - Click Here
29 M-19. data analytics - mining streams - ii - - Click Here
30 M-38. data analysis foundation γΆβ€β“ visualization of social networks - Click Here
31 M-35. data analysis foundation γΆβ€β“ introduction to data visualization - Click Here
32 M-40. data analysis foundation γΆβ€β“ opensource tools for analytics - Click Here
33 M-37. data analysis foundation γΆβ€β“ data visualization techniques-ii - Click Here
34 M-36. data analysis foundation γΆβ€β“ data visualization techniques - i - Click Here
35 M-34. mongodb-iii - Click Here
36 M-33. mongodb-ii - Click Here
37 M-32. mongodb-i - Click Here
38 M-39. graphics and data visualization in r - - Click Here