FreeCoursesOnline Me Linkedin - Python - Data Analysis

1. 01-Welcome.mp423.12MB
2. 02-What you need to know.mp42.01MB
3. 03-Exercise files.mp42.09MB
4. 04-Installing the Anaconda Python distribution.mp45.98MB
5. 05-Writing and running Python in the iPython notebook.mp48.22MB
6. 06-Python containers overview.mp41.42MB
7. 07-Using Python lists and the slicing syntax.mp415.61MB
8. 08-Using Python dictionaries.mp410.28MB
9. 09-Comprehensions.mp412.54MB
10. 10-Word anagram overview.mp41.81MB
11. 11-Loading the dictionary.mp410.37MB
12. 12-Finding anagrams.mp413.42MB
13. 13-Challenge.mp42.02MB
14. 14-Solution.mp48.84MB
15. 15-NumPy overview.mp47.24MB
16. 16-Creating NumPy arrays.mp410.8MB
17. 17-Doing math with arrays.mp411.57MB
18. 18-Indexing and slicing.mp412.62MB
19. 19-Records and dates.mp411.22MB
20. 20-Weather data overview.mp41.88MB
21. 21-Downloading and parsing data files.mp412.69MB
22. 22-Temperature analysis.mp419.93MB
23. 23-Integrating missing data.mp411.78MB
24. 24-Smoothing data.mp412.65MB
25. 25-Computing daily records.mp411.03MB
26. 26-Challenge.mp41.52MB
27. 27-Solution.mp48.28MB
28. 28-Pandas overview.mp41.72MB
29. 29-Series in Pandas.mp48.31MB
30. 30-DataFrames in Pandas.mp416.27MB
31. 31-Using multilevel indices.mp411.33MB
32. 32-Aggregation.mp49.59MB
33. 33-Baby name overview.mp41.54MB
34. 34-Loading datasets.mp49.04MB
35. 35-Name popularity.mp415.26MB
36. 36-A yearly top ten.mp411.87MB
37. 37-Name fads.mp415.1MB
38. 38-Challenge.mp41.43MB
39. 39-Solution.mp46.65MB
40. 40-Next steps.mp44.61MB