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[FreeCourseSite com] Udemy - Data Analysis with Pandas and Python

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Name:[FreeCourseSite com] Udemy - Data Analysis with Pandas and Python

Total Size: 2.31 GB

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Last Updated: 2018-02-06 10:00:08 (Update Now)

Torrent added: 2018-02-06 10:00:05



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1. Installation and Setup (Size: 2.31 GB) (Files: 196)

 1. Installation and Setup

  1. Introduction to the Course.mp4

34.00 MB

  1.1 pandas.zip.zip

684.75 KB

  10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4

19.06 MB

  11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4

15.47 MB

  12. Intro to the Jupyter Notebook Interface.mp4

9.31 MB

  13. Cell Types and Cell Modes.mp4

11.68 MB

  14. Code Cell Execution.mp4

8.22 MB

  15. Popular Keyboard Shortcuts.mp4

6.26 MB

  16. Import Libraries into Jupyter Notebook.mp4

11.54 MB

  17. Python Crash Course, Part 1 - Data Types and Variables.mp4

11.98 MB

  18. Python Crash Course, Part 2 - Lists.mp4

9.00 MB

  19. Python Crash Course, Part 3 - Dictionaries.mp4

7.20 MB

  2. Completed Course Files.html

0.93 KB

  2.1 CompletedCourseFiles.zip.zip

363.34 KB

  20. Python Crash Course, Part 4 - Operators.mp4

7.88 MB

  21. Python Crash Course, Part 5 - Functions.mp4

10.12 MB

  3. Mac OS - Download the Anaconda Distribution.mp4

7.93 MB

  4. Mac OS - Install Anaconda Distribution.mp4

18.07 MB

  5. Mac OS - Access the Terminal.mp4

6.35 MB

  6. Mac OS - Update Anaconda Libraries.mp4

35.27 MB

  7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4

22.15 MB

  8. Windows - Download the Anaconda Distribution.mp4

7.65 MB

  9. Windows - Install Anaconda Distribution.mp4

15.20 MB

 10. Working with Dates and Times

  1. Intro to the Working with Dates and Times Module.mp4

6.33 MB

  10. Install pandas-datareader Library.mp4

5.90 MB

  11. Import Financial Data Set with pandas_datareader Library.mp4

25.48 MB

  12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4

18.34 MB

  13. Timestamp Object Attributes.mp4

19.57 MB

  14. The .truncate() Method.mp4

9.04 MB

  15. pd.DateOffset Objects.mp4

25.58 MB

  16. More Fun with pd.DateOffset Objects.mp4

31.91 MB

  17. The pandas Timedelta Object.mp4

15.41 MB

  18. Timedeltas in a Dataset.mp4

19.55 MB

  2. Review of Python's datetime Module.mp4

16.74 MB

  3. The pandas Timestamp Object.mp4

12.81 MB

  4. The pandas DateTimeIndex Object.mp4

9.65 MB

  5. The pd.to_datetime() Method.mp4

22.88 MB

  6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4

19.68 MB

  7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4

18.54 MB

  8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4

16.33 MB

  9. The .dt Accessor.mp4

13.69 MB

 11. Panels

  1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4

13.68 MB

  10. The .swapaxes() Method.mp4

9.71 MB

  11. A Review of the Panels Module.html

0.13 KB

  2. The Axes of a Panel Object.mp4

16.31 MB

  3. Panel Attributes.mp4

10.50 MB

  4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4

8.25 MB

  5. Extracting with the .loc, .iloc, and .ix Methods.mp4

13.54 MB

  6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4

8.69 MB

  7. The .major_xs() Method.mp4

12.12 MB

  8. The .minor_xs() Method.mp4

13.62 MB

  9. Transpose a Panel with the .transpose() Method.mp4

15.73 MB

 12. Input and Output

  1. Intro to the Input and Output Module.mp4

2.81 MB

  2. Feed pd.read_csv() Method a URL Argument.mp4

7.61 MB

  3. Quick Object Conversions.mp4

11.36 MB

  4. Export DataFrame to CSV File with the .to_csv() Method.mp4

10.67 MB

  5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4

5.98 MB

  6. Import Excel File into pandas.mp4

19.13 MB

  7. Export Excel File.mp4

17.80 MB

  8. Input and Output.html

0.13 KB

 13. Visualization

  1. Intro to Visualization Module.mp4

7.31 MB

  2. The .plot() Method.mp4

18.97 MB

  3. Modifying Aesthetics with Templates.mp4

12.09 MB

  4. Bar Graphs.mp4

12.27 MB

  5. Pie Charts.mp4

9.87 MB

  6. Histograms.mp4

12.17 MB

  7. Visualization.html

0.13 KB

 14. Options and Settings

  1. Introduction to the Options and Settings Module.mp4

3.33 MB

  2. Changing pandas Options with Attributes and Dot Syntax.mp4

19.83 MB

  3. Changing pandas Options with Methods.mp4

13.92 MB

  4. The precision Option.mp4

6.10 MB

 15. Conclusion

  1. Conclusion.mp4

2.95 MB

 2. Series

  1. Create Jupyter Notebook for the Series Module.mp4

3.81 MB

  10. More Series Attributes.mp4

11.66 MB

  11. The .sort_values() Method.mp4

10.83 MB

  11.1 Official pandas Documentation.html

0.14 KB

  12. The inplace Parameter.mp4

9.39 MB

  13. The .sort_index() Method.mp4

8.58 MB

  13.1 Official pandas Documentation.html

0.14 KB

  14. Python's in Keyword.mp4

7.30 MB

  15. Extract Series Values by Index Position.mp4

8.90 MB

  16. Extract Series Values by Index Label.mp4

13.74 MB

  17. The .get() Method on a Series.mp4

9.56 MB

  18. Math Methods on Series Objects.mp4

10.16 MB

  19. The .idxmax() and .idxmin() Methods.mp4

5.75 MB

  2. Create A Series Object from a Python List.mp4

18.12 MB

  20. The .value_counts() Method.mp4

6.73 MB

  21. The .apply() Method.mp4

12.32 MB

  22. The .map() Method.mp4

13.09 MB

  23. A Review of the Series Module.html

0.13 KB

  3. Create A Series Object from a Python Dictionary.mp4

5.19 MB

  4. Intro to Attributes.mp4

12.86 MB

  5. Intro to Methods.mp4

7.91 MB

  6. Parameters and Arguments.mp4

18.28 MB

  7. Import Series with the .read_csv() Method.mp4

21.14 MB

  8. The .head() and .tail() Methods.mp4

6.47 MB

  8.1 Official pandas Documentation.html

0.13 KB

  9. Python Built-In Functions.mp4

9.87 MB

 3. DataFrames I

  1. Intro to DataFrames I Module.mp4

17.63 MB

  10. Fill in Null Values with the .fillna() Method.mp4

10.75 MB

  10.1 Official pandas Documentation.html

0.14 KB

  11. The .astype() Method.mp4

23.86 MB

  11.1 Official pandas Documentation.html

0.14 KB

  12. Sort a DataFrame with the .sort_values() Method, Part I.mp4

13.28 MB

  12.1 Official pandas Documentation.html

0.14 KB

  13. Sort a DataFrame with the .sort_values() Method, Part II.mp4

8.83 MB

  13.1 Official pandas Documentation.html

0.14 KB

  14. Sort DataFrame with the .sort_index() Method.mp4

6.56 MB

  14.1 Official pandas Documentation.html

0.14 KB

  15. Rank Values with the .rank() Method.mp4

13.16 MB

  15.1 Official pandas Documentation.html

0.14 KB

  2. Shared Methods and Attributes between Series and DataFrames.mp4

15.62 MB

  3. Differences between Shared Methods.mp4

13.10 MB

  4. Select One Column from a DataFrame.mp4

14.87 MB

  5. Select Two or More Columns from a DataFrame.mp4

9.94 MB

  6. Add New Column to DataFrame.mp4

17.23 MB

  7. Broadcasting Operations.mp4

18.23 MB

  8. A Review of the .value_counts() Method.mp4

8.42 MB

  9. Drop Rows with Null Values.mp4

19.20 MB

 4. DataFrames II

  1. This Module's Dataset + Memory Optimization.mp4

24.44 MB

  10. The .unique() and .nunique() Methods.mp4

8.19 MB

  2. Filter a DataFrame Based on A Condition.mp4

27.40 MB

  3. Filter with More than One Condition (AND - &).mp4

9.29 MB

  4. Filter with More than One Condition (OR - ).mp4

16.75 MB

  5. The .isin() Method.mp4

12.54 MB

  6. The .isnull() and .notnull() Methods.mp4

12.26 MB

  7. The .between() Method.mp4

16.76 MB

  8. The .duplicated() Method.mp4

19.56 MB

  9. The .drop_duplicates() Method.mp4

17.55 MB

 5. DataFrames III

  1. Intro to the DataFrames III Module + Import Dataset.mp4

7.67 MB

  10. Delete Rows or Columns from a DataFrame.mp4

16.21 MB

  11. Create Random Sample with the .sample() Method.mp4

9.33 MB

  12. The .nsmallest() and .nlargest() Methods.mp4

12.07 MB

  13. Filtering with the .where() Method.mp4

13.56 MB

  14. The .query() Method.mp4

19.93 MB

  15. A Review of the .apply() Method on Single Columns.mp4

11.75 MB

  16. The .apply() Method with Row Values.mp4

13.41 MB

  17. The .copy() Method.mp4

15.45 MB

  2. The .set_index() and .reset_index() Methods.mp4

13.19 MB

  2.1 set_index Documentation.html

0.14 KB

  2.2 reset_index Documentation.html

0.15 KB

  3. Retrieve Rows by Index Label with .loc[].mp4

25.87 MB

  3.1 loc[] Documentation.html

0.14 KB

  4. Retrieve Rows by Index Position with .iloc[].mp4

13.31 MB

  5. The Catch-All .ix[] Method.mp4

18.56 MB

  6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4

12.36 MB

  7. Set New Values for a Specific Cell or Row.mp4

8.89 MB

  8. Set Multiple Values in DataFrame.mp4

20.54 MB

  9. Rename Index Labels or Columns in a DataFrame.mp4

13.40 MB

 6. Working with Text Data

  1. Intro to the Working with Text Data Module.mp4

13.87 MB

  2. Common String Methods - lower, upper, title, and len.mp4

14.88 MB

  3. The .str.replace() Method.mp4

16.00 MB

  4. Filtering with String Methods.mp4

15.54 MB

  5. More String Methods - strip, lstrip, and rstrip.mp4

9.54 MB

  6. String Methods on Index and Columns.mp4

11.13 MB

  7. Split Strings by Characters with .str.split() Method.mp4

17.52 MB

  8. More Practice with Splits.mp4

11.93 MB

  9. The expand and n Parameters of the .str.split() Method.mp4

15.30 MB

 7. MultiIndex

  1. Intro to the MultiIndex Module.mp4

8.33 MB

  10. The .unstack() Method, Part 1.mp4

8.48 MB

  11. The .unstack() Method, Part 2.mp4

14.53 MB

  12. The .unstack() Method, Part 3.mp4

11.97 MB

  13. The .pivot() Method.mp4

12.11 MB

  14. The .pivot_table() Method.mp4

22.17 MB

  15. The pd.melt() Method.mp4

17.26 MB

  2. Create a MultiIndex with the set_index() Method.mp4

21.05 MB

  3. The .get_level_values() Method.mp4

16.55 MB

  4. The .set_names() Method.mp4

6.09 MB

  5. The sort_index() Method.mp4

10.25 MB

  6. Extract Rows from a MultiIndex DataFrame.mp4

17.34 MB

  7. The .transpose() Method and MultiIndex on Column Level.mp4

11.92 MB

  8. The .swaplevel() Method.mp4

5.18 MB

  9. The .stack() Method.mp4

13.19 MB

 8. GroupBy

  1. Intro to the Groupby Module.mp4

14.29 MB

  2. First Operations with groupby Object.mp4

23.08 MB

  3. Retrieve A Group with the .get_group() Method.mp4

10.14 MB

  4. Methods on the Groupby Object and DataFrame Columns.mp4

20.49 MB

  5. Grouping by Multiple Columns.mp4

10.35 MB

  6. The .agg() Method.mp4

13.18 MB

  7. Iterating through Groups.mp4

21.37 MB

 9. Merging, Joining, and Concatenating

  1. Intro to the Merging, Joining, and Concatenating Module.mp4

11.46 MB

  10. Merging by Indexes with the left_index and right_index Parameters.mp4

22.70 MB

  11. The .join() Method.mp4

6.27 MB

  12. The pd.merge() Method.mp4

6.85 MB

  2. The pd.concat() Method, Part 1.mp4

12.56 MB

  3. The pd.concat() Method, Part 2.mp4

13.21 MB

  4. The .append() Method on a DataFrame.mp4

5.13 MB

  5. Inner Joins, Part 1.mp4

17.92 MB

  6. Inner Joins, Part 2.mp4

16.61 MB

  7. Outer Joins.mp4

25.94 MB

  8. Left Joins.mp4

21.00 MB

  9. The left_on and right_on Parameters.mp4

20.24 MB

 [FreeCourseSite.com].txt

1.07 KB

 [FreeCourseSite.com].url

0.12 KB

 [HaxTech.me].txt

1.05 KB

 [HaxTech.me].url

0.12 KB
 

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