[DesireCourse.Net] Udemy - Data Analysis with Pandas and Python

1. 1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.mp435.27 MB
2. 1. Installation and Setup/1. Introduction to the Course.mp434 MB
3. 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp431.91 MB
4. 4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp427.4 MB
5. 9. Merging, Joining, and Concatenating/7. Outer Joins.mp425.94 MB
6. 5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp425.87 MB
7. 10. Working with Dates and Times/15. pd.DateOffset Objects.mp425.58 MB
8. 10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp425.48 MB
9. 4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp424.45 MB
10. 3. DataFrames I/11. The .astype() Method.mp423.86 MB
11. 8. GroupBy/2. First Operations with groupby Object.mp423.08 MB
12. 10. Working with Dates and Times/5. The pd.to_datetime() Method.mp422.88 MB
13. 9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp422.7 MB
14. 7. MultiIndex/14. The .pivot_table() Method.mp422.16 MB
15. 1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp422.15 MB
16. 8. GroupBy/7. Iterating through Groups.mp421.37 MB
17. 1. Installation and Setup/2. About Me.mp421.3 MB
18. 2. Series/7. Import Series with the .read_csv() Method.mp421.14 MB
19. 7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp421.05 MB
20. 9. Merging, Joining, and Concatenating/8. Left Joins.mp420.99 MB
21. 5. DataFrames III/8. Set Multiple Values in DataFrame.mp420.54 MB
22. 8. GroupBy/4. Methods on the Groupby Object and DataFrame Columns.mp420.49 MB
23. 9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.mp420.24 MB
24. 5. DataFrames III/14. The .query() Method.mp419.93 MB
25. 14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.mp419.83 MB
26. 10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp419.68 MB
27. 10. Working with Dates and Times/13. Timestamp Object Attributes.mp419.57 MB
28. 4. DataFrames II/8. The .duplicated() Method.mp419.56 MB
29. 10. Working with Dates and Times/18. Timedeltas in a Dataset.mp419.55 MB
30. 3. DataFrames I/9. Drop Rows with Null Values.mp419.2 MB
31. 12. Input and Output/6. Import Excel File into pandas.mp419.13 MB
32. 1. Installation and Setup/11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp419.06 MB
33. 13. Visualization/2. The .plot() Method.mp418.97 MB
34. 5. DataFrames III/5. The Catch-All .ix[] Method.mp418.56 MB
35. 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp418.54 MB
36. 10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp418.34 MB
37. 2. Series/6. Parameters and Arguments.mp418.29 MB
38. 3. DataFrames I/7. Broadcasting Operations.mp418.23 MB
39. 2. Series/2. Create A Series Object from a Python List.mp418.12 MB
40. 1. Installation and Setup/5. Mac OS - Install Anaconda Distribution.mp418.06 MB
41. 9. Merging, Joining, and Concatenating/5. Inner Joins, Part 1.mp417.92 MB
42. 12. Input and Output/7. Export Excel File.mp417.8 MB
43. 9. Merging, Joining, and Concatenating/6. Inner Joins, Part 2.mp417.75 MB
44. 3. DataFrames I/1. Intro to DataFrames I Module.mp417.63 MB
45. 4. DataFrames II/9. The .drop_duplicates() Method.mp417.55 MB
46. 6. Working with Text Data/7. Split Strings by Characters with .str.split() Method.mp417.52 MB
47. 7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp417.34 MB
48. 7. MultiIndex/15. The pd.melt() Method.mp417.26 MB
49. 3. DataFrames I/6. Add New Column to DataFrame.mp417.23 MB
50. 4. DataFrames II/7. The .between() Method.mp416.76 MB