[DesireCourse.Net] Udemy - The Complete Pandas Bootcamp 2020 Data Science with Python

File Name

Size

0. Websites you may like/[CourseClub.Me].url

48 B

0. Websites you may like/[DesireCourse.Net].url

51 B

0. Websites you may like/[FreeCourseWorld.Com].url

54 B

1. Getting Started/1. Overview Student FAQ.mp4

48 MB

1. Getting Started/1. Overview Student FAQ.srt

12 kB

1. Getting Started/2. Tips How to get the most out of this course.mp4

44 MB

1. Getting Started/2. Tips How to get the most out of this course.srt

6.5 kB

1. Getting Started/3. Did you know that....mp4

31 MB

1. Getting Started/3. Did you know that....srt

5.2 kB

1. Getting Started/4. More FAQ Important Information.html

5.5 kB

1. Getting Started/5. Installation of Anaconda.mp4

86 MB

1. Getting Started/5. Installation of Anaconda.srt

8.8 kB

1. Getting Started/5.1 Installing on Windows.html

112 B

1. Getting Started/5.2 Installing on macOS.html

111 B

1. Getting Started/5.3 Installing on Linux.html

110 B

1. Getting Started/6. Opening a Jupyter Notebook.mp4

65 MB

1. Getting Started/6. Opening a Jupyter Notebook.srt

11 kB

1. Getting Started/7. How to use Jupyter Notebooks.mp4

66 MB

1. Getting Started/7. How to use Jupyter Notebooks.srt

17 kB

1. Getting Started/8. How to tackle Pandas Version 1.0.mp4

19 MB

1. Getting Started/8. How to tackle Pandas Version 1.0.srt

3.3 kB

10. Importing Data/1. Importing csv-files with pd.read_csv.mp4

91 MB

10. Importing Data/2. Importing messy csv-files with pd.read_csv.mp4

63 MB

10. Importing Data/2. Importing messy csv-files with pd.read_csv.srt

11 kB

10. Importing Data/3. Importing Data from Excel with pd.read_excel().mp4

74 MB

10. Importing Data/3. Importing Data from Excel with pd.read_excel().srt

14 kB

10. Importing Data/4. Importing messy Data from Excel with pd.read_excel().mp4

72 MB

10. Importing Data/4. Importing messy Data from Excel with pd.read_excel().srt

8.8 kB

10. Importing Data/5. Importing Data from the Web with pd.read_html().mp4

58 MB

10. Importing Data/5. Importing Data from the Web with pd.read_html().srt

9.1 kB

10. Importing Data/6. Coding Exercise 10.html

557 B

11. Cleaning Data/1. First Inspection & Handling of inconsistent Data.mp4

68 MB

11. Cleaning Data/1. First Inspection & Handling of inconsistent Data.srt

13 kB

11. Cleaning Data/10. Handling Removing Duplicates.mp4

89 MB

11. Cleaning Data/10. Handling Removing Duplicates.srt

89 MB

11. Cleaning Data/11. The ignore_index parameter (NEW in Pandas 1.0).mp4

5.7 MB

11. Cleaning Data/11. The ignore_index parameter (NEW in Pandas 1.0).srt

2.2 kB

11. Cleaning Data/12. Detection of Outliers.mp4

44 MB

11. Cleaning Data/12. Detection of Outliers.srt

10 kB

11. Cleaning Data/13. Handling Removing Outliers.mp4

30 MB

11. Cleaning Data/13. Handling Removing Outliers.srt

6.8 kB

11. Cleaning Data/14. Categorical Data.mp4

46 MB

11. Cleaning Data/14. Categorical Data.srt

9.1 kB

11. Cleaning Data/15. Pandas Version 1.0 New dtypes and pd.NA.mp4

18 MB

11. Cleaning Data/15. Pandas Version 1.0 New dtypes and pd.NA.srt

18 MB

11. Cleaning Data/16. Coding Exercise 11 (Intro).html

159 B

11. Cleaning Data/17. Coding Exercise 11 (Solution).mp4

130 MB

11. Cleaning Data/17. Coding Exercise 11 (Solution).srt

20 kB

11. Cleaning Data/2. String Operations.mp4

81 MB

11. Cleaning Data/2. String Operations.srt

15 kB

11. Cleaning Data/3. Changing Datatype of Columns with astype().mp4

39 MB

11. Cleaning Data/3. Changing Datatype of Columns with astype().srt

8.1 kB

11. Cleaning Data/4. Intro NA values missing values.mp4

46 MB

11. Cleaning Data/4. Intro NA values missing values.srt

11 kB

11. Cleaning Data/5. Detection of missing Values.mp4

89 MB

11. Cleaning Data/5. Detection of missing Values.srt

17 kB

11. Cleaning Data/6. Removing missing values.mp4

86 MB

11. Cleaning Data/6. Removing missing values.srt

18 kB

11. Cleaning Data/7. Replacing missing values.mp4

25 MB

11. Cleaning Data/7. Replacing missing values.srt

5.1 kB

11. Cleaning Data/8. Intro Duplicates.mp4

20 MB

11. Cleaning Data/8. Intro Duplicates.srt

6.4 kB

11. Cleaning Data/9. Detection of Duplicates.mp4

79 MB

11. Cleaning Data/9. Detection of Duplicates.srt

15 kB

12. Merging, Joining, and Concatenating Data/1. Intro.html

585 B

12. Merging, Joining, and Concatenating Data/10. Right Joins (without Intersection) with merge().mp4

15 MB

12. Merging, Joining, and Concatenating Data/10. Right Joins (without Intersection) with merge().srt

2.6 kB

12. Merging, Joining, and Concatenating Data/11. Left Joins with merge().mp4

24 MB

12. Merging, Joining, and Concatenating Data/11. Left Joins with merge().srt

5.2 kB

12. Merging, Joining, and Concatenating Data/12. Right Joins with merge().mp4

27 MB

12. Merging, Joining, and Concatenating Data/12. Right Joins with merge().srt

4.6 kB

12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.mp4

95 MB

12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.srt

16 kB

12. Merging, Joining, and Concatenating Data/14. Joining on more than one Column.mp4

39 MB

12. Merging, Joining, and Concatenating Data/14. Joining on more than one Column.srt

9.4 kB

12. Merging, Joining, and Concatenating Data/15. pd.merge() and join().mp4

36 MB

12. Merging, Joining, and Concatenating Data/15. pd.merge() and join().srt

6.8 kB

12. Merging, Joining, and Concatenating Data/16. Coding Exercise 12.html

557 B

12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).mp4

88 MB

12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).srt

16 kB

12. Merging, Joining, and Concatenating Data/3. Adding Rows with pd.concat() (Part 2).mp4

57 MB

12. Merging, Joining, and Concatenating Data/3. Adding Rows with pd.concat() (Part 2).srt

11 kB

12. Merging, Joining, and Concatenating Data/4. Arithmetic with Pandas Objects Data Alignment.mp4

39 MB

12. Merging, Joining, and Concatenating Data/4. Arithmetic with Pandas Objects Data Alignment.srt

9.0 kB

12. Merging, Joining, and Concatenating Data/5. EXCURSUS Comparing two DataFrames Identify Differences.html

2.7 kB

12. Merging, Joining, and Concatenating Data/6. Outer Joins with merge().mp4

80 MB

12. Merging, Joining, and Concatenating Data/6. Outer Joins with merge().srt

16 kB

12. Merging, Joining, and Concatenating Data/7. Inner Joins with merge().mp4

16 MB

12. Merging, Joining, and Concatenating Data/7. Inner Joins with merge().srt

3.3 kB

12. Merging, Joining, and Concatenating Data/8. Outer Joins (without Intersection) with merge().mp4

32 MB

12. Merging, Joining, and Concatenating Data/8. Outer Joins (without Intersection) with merge().srt

5.5 kB

12. Merging, Joining, and Concatenating Data/9. Left Joins (without Intersection) with merge().mp4

22 MB

12. Merging, Joining, and Concatenating Data/9. Left Joins (without Intersection) with merge().srt

3.9 kB

13. GroupBy Operations/1. Intro.mp4

10 MB

13. GroupBy Operations/1. Intro.srt

2.6 kB

13. GroupBy Operations/10. Replacing NA Values by group-specific Values.mp4

45 MB

13. GroupBy Operations/10. Replacing NA Values by group-specific Values.srt

8.6 kB

13. GroupBy Operations/11. Generalizing split-apply-combine with apply().mp4

43 MB

13. GroupBy Operations/11. Generalizing split-apply-combine with apply().srt

9.9 kB

13. GroupBy Operations/12. Hierarchical Indexing with Groupby.mp4

33 MB

13. GroupBy Operations/12. Hierarchical Indexing with Groupby.srt

7.5 kB

13. GroupBy Operations/13. stack() and unstack().mp4

79 MB

13. GroupBy Operations/13. stack() and unstack().srt

17 kB

13. GroupBy Operations/14. GroupBy 2.html

130 B

13. GroupBy Operations/15. Coding Exercise 13 (Intro).html

159 B

13. GroupBy Operations/16. Coding Exercise 13 (Solution).mp4

82 MB

13. GroupBy Operations/16. Coding Exercise 13 (Solution).srt

15 kB

13. GroupBy Operations/2. Understanding the GroupBy Object.mp4

46 MB

13. GroupBy Operations/2. Understanding the GroupBy Object.srt

9.8 kB

13. GroupBy Operations/3. Splitting with many Keys.mp4

50 MB

13. GroupBy Operations/3. Splitting with many Keys.srt

8.1 kB

13. GroupBy Operations/4. split-apply-combine explained.mp4

47 MB

13. GroupBy Operations/4. split-apply-combine explained.srt

12 kB

13. GroupBy Operations/5. split-apply-combine applied.mp4

71 MB

13. GroupBy Operations/5. split-apply-combine applied.srt

14 kB

13. GroupBy Operations/6. GroupBy 1.html

130 B

13. GroupBy Operations/7. Advanced aggregation with agg().mp4

30 MB

13. GroupBy Operations/7. Advanced aggregation with agg().srt

6.9 kB

13. GroupBy Operations/8. GroupBy Aggregation with Relabeling (NEW - Pandas Version 0.25).mp4

21 MB

13. GroupBy Operations/8. GroupBy Aggregation with Relabeling (NEW - Pandas Version 0.25).srt

5.4 kB

13. GroupBy Operations/9. Transformation with transform().mp4

35 MB

13. GroupBy Operations/9. Transformation with transform().srt

7.4 kB

14. Reshaping and Pivoting DataFrames/1. Intro.html

894 B

14. Reshaping and Pivoting DataFrames/2. Transposing Rows and Columns.mp4

68 MB

14. Reshaping and Pivoting DataFrames/2. Transposing Rows and Columns.srt

13 kB

14. Reshaping and Pivoting DataFrames/3. Pivoting DataFrames with pivot().mp4

56 MB

14. Reshaping and Pivoting DataFrames/3. Pivoting DataFrames with pivot().srt

11 kB

14. Reshaping and Pivoting DataFrames/4. Limits of pivot().mp4

58 MB

14. Reshaping and Pivoting DataFrames/4. Limits of pivot().srt

12 kB

14. Reshaping and Pivoting DataFrames/5. pivot_table().mp4

58 MB

14. Reshaping and Pivoting DataFrames/5. pivot_table().srt

16 kB

14. Reshaping and Pivoting DataFrames/6. pd.crosstab().mp4

100 MB

14. Reshaping and Pivoting DataFrames/6. pd.crosstab().srt

21 kB

14. Reshaping and Pivoting DataFrames/7. melting DataFrames with melt().mp4

50 MB

14. Reshaping and Pivoting DataFrames/7. melting DataFrames with melt().srt

11 kB

14. Reshaping and Pivoting DataFrames/8. Coding Exercise 14.html

557 B

14. Reshaping and Pivoting DataFrames/[CourseClub.Me].url

48 B

14. Reshaping and Pivoting DataFrames/[DesireCourse.Net].url

51 B

14. Reshaping and Pivoting DataFrames/[FreeCourseWorld.Com].url

54 B

15. Data Preparation and Feature Creation/1. Intro.html

710 B

15. Data Preparation and Feature Creation/10. Scaling Standardization.mp4

56 MB

15. Data Preparation and Feature Creation/10. Scaling Standardization.srt

9.7 kB

15. Data Preparation and Feature Creation/11. Creating Dummy Variables.mp4

55 MB

15. Data Preparation and Feature Creation/11. Creating Dummy Variables.srt

11 kB

15. Data Preparation and Feature Creation/12. String Operations.mp4

30 MB

15. Data Preparation and Feature Creation/12. String Operations.srt

5.3 kB

15. Data Preparation and Feature Creation/13. Coding Exercise 15.html

557 B

15. Data Preparation and Feature Creation/2. Arithmetic Operations (Part 1).mp4

64 MB

15. Data Preparation and Feature Creation/2. Arithmetic Operations (Part 1).srt

15 kB

15. Data Preparation and Feature Creation/3. Arithmetic Operations (Part 2).mp4

58 MB

15. Data Preparation and Feature Creation/3. Arithmetic Operations (Part 2).srt

15 kB

15. Data Preparation and Feature Creation/4. TransformationMapping with map().mp4

43 MB

15. Data Preparation and Feature Creation/4. TransformationMapping with map().srt

8.0 kB

15. Data Preparation and Feature Creation/5. Conditional Transformation.mp4

33 MB

15. Data Preparation and Feature Creation/5. Conditional Transformation.srt

8.5 kB

15. Data Preparation and Feature Creation/6. Discretization and Binning with pd.cut() (Part 1).mp4

73 MB

15. Data Preparation and Feature Creation/6. Discretization and Binning with pd.cut() (Part 1).srt

14 kB

15. Data Preparation and Feature Creation/7. Discretization and Binning with pd.cut() (Part 2).mp4

33 MB

15. Data Preparation and Feature Creation/7. Discretization and Binning with pd.cut() (Part 2).srt

6.1 kB

15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().mp4

85 MB

15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().srt

16 kB

15. Data Preparation and Feature Creation/9. Floors and Caps.mp4

39 MB

15. Data Preparation and Feature Creation/9. Floors and Caps.srt

8.8 kB

16. Advanced Visualization with Seaborn/1. Intro.html

775 B

16. Advanced Visualization with Seaborn/2. First Steps in Seaborn.mp4

22 MB

16. Advanced Visualization with Seaborn/2. First Steps in Seaborn.srt

7.1 kB

16. Advanced Visualization with Seaborn/3. Categorical Plots.mp4

85 MB

16. Advanced Visualization with Seaborn/3. Categorical Plots.srt

17 kB

16. Advanced Visualization with Seaborn/4. Joint Plots Regression Plots.mp4

80 MB

16. Advanced Visualization with Seaborn/4. Joint Plots Regression Plots.srt

14 kB

16. Advanced Visualization with Seaborn/5. Matrixplots Heatmaps.mp4

43 MB

16. Advanced Visualization with Seaborn/5. Matrixplots Heatmaps.srt

10 kB

16. Advanced Visualization with Seaborn/6. Coding Exercise 16.html

557 B

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/1. Download Part 3 Course Materials.html

131 B

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/1.1 Course_Materials_Part3.zip

8.5 MB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/2. Olympic Medal Tables (Instruction & Hints).mp4

58 MB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/2. Olympic Medal Tables (Instruction & Hints).srt

9.4 kB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/3. Olympic Medal Tables (Solution Part 1).mp4

38 MB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/3. Olympic Medal Tables (Solution Part 1).srt

6.5 kB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).mp4

129 MB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).srt

23 kB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/5. Olympic Medal Tables (Solution Part 3).mp4

27 MB

17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/5. Olympic Medal Tables (Solution Part 3).srt

7.0 kB

18. ----PART 4 MANAGING TIME SERIES DATA WITH PANDAS----/1. Welcome to PART 4 Time Series Data with Pandas.html

637 B

18. ----PART 4 MANAGING TIME SERIES DATA WITH PANDAS----/2. Download Part 4 Course Materials.html

131 B

18. ----PART 4 MANAGING TIME SERIES DATA WITH PANDAS----/2.1 Course_Materials_Part4.zip

832 kB

19. Time Series Basics/1. Importing Time Series Data from csv-files.mp4

42 MB

19. Time Series Basics/1. Importing Time Series Data from csv-files.srt

9.6 kB

19. Time Series Basics/10. Advanced Indexing with reindex().mp4

50 MB

19. Time Series Basics/10. Advanced Indexing with reindex().srt

10 kB

19. Time Series Basics/2. Converting strings to datetime objects with pd.to_datetime().mp4

58 MB

19. Time Series Basics/2. Converting strings to datetime objects with pd.to_datetime().srt

11 kB

19. Time Series Basics/3. Initial Analysis Visualization of Time Series.mp4

35 MB

19. Time Series Basics/3. Initial Analysis Visualization of Time Series.srt

6.8 kB

19. Time Series Basics/4. Indexing and Slicing Time Series.mp4

48 MB

19. Time Series Basics/4. Indexing and Slicing Time Series.srt

8.5 kB

19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().mp4

115 MB

19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().srt

18 kB

19. Time Series Basics/6. More on pd.date_range().mp4

12 MB

19. Time Series Basics/6. More on pd.date_range().srt

3.5 kB

19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).mp4

86 MB

19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).srt

16 kB

19. Time Series Basics/8. Downsampling Time Series with resample (Part 2).mp4

49 MB

19. Time Series Basics/8. Downsampling Time Series with resample (Part 2).srt

10 kB

19. Time Series Basics/9. The PeriodIndex object.mp4

39 MB

19. Time Series Basics/9. The PeriodIndex object.srt

7.1 kB

2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/1. Intro to Tabular Data Pandas.mp4

18 MB

2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/1. Intro to Tabular Data Pandas.srt

5.5 kB

2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/1.1 tabdata.pdf

472 kB

2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/2. Download Part 1 Course Materials.mp4

19 MB

2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/2. Download Part 1 Course Materials.srt

2.9 kB

2. ---PART 1 PANDAS FROM ZERO TO HERO (BUILDING BLOCKS)---/2.1 Course_Materials_Part1.zip

1.0 MB

20. Time Series Advanced Financial Time Series/1. Intro.html

976 B

20. Time Series Advanced Financial Time Series/10. Financial Time Series - Covariance and Correlation.mp4

26 MB

20. Time Series Advanced Financial Time Series/10. Financial Time Series - Covariance and Correlation.srt

5.5 kB

20. Time Series Advanced Financial Time Series/11. Helpful DatetimeIndex Attributes and Methods.mp4

44 MB

20. Time Series Advanced Financial Time Series/11. Helpful DatetimeIndex Attributes and Methods.srt

7.1 kB

20. Time Series Advanced Financial Time Series/12. Filling NA Values with bfill, ffill and interpolation.mp4

78 MB

20. Time Series Advanced Financial Time Series/12. Filling NA Values with bfill, ffill and interpolation.srt

12 kB

20. Time Series Advanced Financial Time Series/13. Coding Exercise 17.html

557 B

20. Time Series Advanced Financial Time Series/2. Getting Ready (Installing required package).mp4

22 MB

20. Time Series Advanced Financial Time Series/2. Getting Ready (Installing required package).srt

2.7 kB

20. Time Series Advanced Financial Time Series/3. Importing Stock Price Data from Yahoo Finance (it still works!).mp4

72 MB

20. Time Series Advanced Financial Time Series/3. Importing Stock Price Data from Yahoo Finance (it still works!).srt

10 kB

20. Time Series Advanced Financial Time Series/4. Initial Inspection and Visualization.mp4

42 MB

20. Time Series Advanced Financial Time Series/4. Initial Inspection and Visualization.srt

6.0 kB

20. Time Series Advanced Financial Time Series/5. Normalizing Time Series to a Base Value (100).mp4

44 MB

20. Time Series Advanced Financial Time Series/5. Normalizing Time Series to a Base Value (100).srt

7.7 kB

20. Time Series Advanced Financial Time Series/6. The shift() method.mp4

36 MB

20. Time Series Advanced Financial Time Series/6. The shift() method.srt

8.5 kB

20. Time Series Advanced Financial Time Series/7. The methods diff() and pct_change().mp4

40 MB

20. Time Series Advanced Financial Time Series/7. The methods diff() and pct_change().srt

8.4 kB

20. Time Series Advanced Financial Time Series/8. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4

44 MB

20. Time Series Advanced Financial Time Series/8. Measuring Stock Performance with MEAN Returns and STD of Returns.srt

10 kB

20. Time Series Advanced Financial Time Series/9. Financial Time Series - Return and Risk.mp4

54 MB

20. Time Series Advanced Financial Time Series/9. Financial Time Series - Return and Risk.srt

9.9 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/1. Intro and Overview.mp4

16 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/1. Intro and Overview.srt

2.6 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/10. The NEW StringDtype.mp4

32 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/10. The NEW StringDtype.srt

6.2 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/11. The NEW nullable BooleanDtype.mp4

23 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/11. The NEW nullable BooleanDtype.srt

5.4 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/12. Addition of the ignore_index parameter.mp4

22 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/12. Addition of the ignore_index parameter.srt

4.4 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/13. Removal of prior Version Deprecations.mp4

43 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/13. Removal of prior Version Deprecations.srt

7.6 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/2. How to update Pandas to Version 1.0.html

313 B

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/3. Downloads for this Section.html

84 B

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/3.1 Course_Materials_Version_1_0.zip

27 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/4. Important Recap Pandas Display Options (Changed in Version 0.25).mp4

36 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/4. Important Recap Pandas Display Options (Changed in Version 0.25).srt

6.5 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/5. Info() method - new and extended output.mp4

9.9 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/5. Info() method - new and extended output.srt

2.0 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/6. NEW Extension dtypes (nullable dtypes) Why do we need them.mp4

28 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/6. NEW Extension dtypes (nullable dtypes) Why do we need them.srt

5.4 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/7. Creating the NEW extension dtypes with convert_dtypes().mp4

26 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/7. Creating the NEW extension dtypes with convert_dtypes().srt

4.6 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/8. NEW pd.NA value for missing values.mp4

28 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/8. NEW pd.NA value for missing values.srt

7.2 kB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/9. The NEW nullable Int64Dtype.mp4

18 MB

21. +++ WHAT´S NEW IN PANDAS VERSION 1.0 - A HANDS-ON GUIDE +++/9. The NEW nullable Int64Dtype.srt

4.1 kB

22. ---APPENDIX PYTHON BASICS, NUMPY & STATISTICS---/1. Welcome to the Appendix.html

422 B

23. Python Basics/1. Intro.mp4

5.9 MB

23. Python Basics/1. Intro.srt

2.9 kB

23. Python Basics/10. Operators & Booleans.mp4

60 MB

23. Python Basics/10. Operators & Booleans.srt

11 kB

23. Python Basics/11. Conditional Statements (if, elif, else, while).mp4

86 MB

23. Python Basics/11. Conditional Statements (if, elif, else, while).srt

16 kB

23. Python Basics/12. For Loops.mp4

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7. DataFrame Basics III/11. Hierarchical Indexing (Part 2).mp4

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7. DataFrame Basics III/11. Hierarchical Indexing (Part 2).srt

15 kB

7. DataFrame Basics III/12. String Operations (Part 1).mp4

41 MB

7. DataFrame Basics III/12. String Operations (Part 1).srt

9.1 kB

7. DataFrame Basics III/13. String Operations (Part 2).mp4

55 MB

7. DataFrame Basics III/13. String Operations (Part 2).srt

12 kB

7. DataFrame Basics III/14. Coding Exercise 8 (Intro).html

158 B

7. DataFrame Basics III/15. Coding Exercise 8 (Solution).mp4

58 MB

7. DataFrame Basics III/15. Coding Exercise 8 (Solution).srt

11 kB

7. DataFrame Basics III/2. Sorting DataFrames with sort_index() and sort_values() (Version 1.0 Update).mp4

69 MB

7. DataFrame Basics III/2. Sorting DataFrames with sort_index() and sort_values() (Version 1.0 Update).srt

10 kB

7. DataFrame Basics III/3. Ranking DataFrames with rank().mp4

44 MB

7. DataFrame Basics III/3. Ranking DataFrames with rank().srt

8.9 kB

7. DataFrame Basics III/4. nunique() and nlargest() nsmallest() with DataFrames.mp4

33 MB

7. DataFrame Basics III/4. nunique() and nlargest() nsmallest() with DataFrames.srt

6.3 kB

7. DataFrame Basics III/5. Summary Statistics and Accumulations.mp4

58 MB

7. DataFrame Basics III/5. Summary Statistics and Accumulations.srt

12 kB

7. DataFrame Basics III/6. The agg() method.mp4

23 MB

7. DataFrame Basics III/6. The agg() method.srt

4.2 kB

7. DataFrame Basics III/7. Coding Exercise 7 (Intro).html

158 B

7. DataFrame Basics III/8. Coding Exercise 7 (Solution).mp4

40 MB

7. DataFrame Basics III/8. Coding Exercise 7 (Solution).srt

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7. DataFrame Basics III/9. User-defined Functions with apply(), map() and applymap().mp4

74 MB

7. DataFrame Basics III/9. User-defined Functions with apply(), map() and applymap().srt

16 kB

8. Visualization with Matplotlib/1. Intro.html

680 B

8. Visualization with Matplotlib/2. The plot() method.mp4

70 MB

8. Visualization with Matplotlib/2. The plot() method.srt

11 kB

8. Visualization with Matplotlib/3. Customization of Plots.mp4

103 MB

8. Visualization with Matplotlib/3. Customization of Plots.srt

14 kB

8. Visualization with Matplotlib/4. Histograms (Part 1).mp4

25 MB

8. Visualization with Matplotlib/4. Histograms (Part 1).srt

5.3 kB

8. Visualization with Matplotlib/5. Histograms (Part 2).mp4

34 MB

8. Visualization with Matplotlib/5. Histograms (Part 2).srt

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8. Visualization with Matplotlib/6. Barcharts and Piecharts.mp4

20 MB

8. Visualization with Matplotlib/6. Barcharts and Piecharts.srt

4.5 kB

8. Visualization with Matplotlib/7. Scatterplots.mp4

36 MB

8. Visualization with Matplotlib/7. Scatterplots.srt

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8. Visualization with Matplotlib/8. Coding Exercise 9 (Intro).html

158 B

8. Visualization with Matplotlib/9. Coding Exercise 9 (Solution).mp4

37 MB

8. Visualization with Matplotlib/9. Coding Exercise 9 (Solution).srt

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9. ----PART 2 FULL DATA WORKFLOW A-Z----/1. Welcome to PART 2 Full Data Workflow A-Z.html

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9. ----PART 2 FULL DATA WORKFLOW A-Z----/2. Download Part 2 Course Materials.html

131 B

9. ----PART 2 FULL DATA WORKFLOW A-Z----/2.1 Course_Materials_Part2.zip

5.3 MB

[CourseClub.Me].url

48 B

[DesireCourse.Net].url

51 B

[FreeCourseWorld.Com].url

54 B