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

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FreeCourseSite com Udemy Data Analysis with Pandas and Python

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File Name

Size

1. Installation and Setup/1. Introduction to the Course.mp4

34MB

1. Installation and Setup/1.1 pandas.zip.zip

684.75KB

1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4

19.06MB

1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4

15.47MB

1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp4

9.31MB

1. Installation and Setup/13. Cell Types and Cell Modes.mp4

11.68MB

1. Installation and Setup/14. Code Cell Execution.mp4

8.22MB

1. Installation and Setup/15. Popular Keyboard Shortcuts.mp4

6.26MB

1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp4

11.54MB

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

11.98MB

1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp4

9MB

1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp4

7.2MB

1. Installation and Setup/2. Completed Course Files.html

948B

1. Installation and Setup/2.1 CompletedCourseFiles.zip.zip

363.34KB

1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.mp4

7.88MB

1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp4

10.12MB

1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp4

7.93MB

1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp4

18.07MB

1. Installation and Setup/5. Mac OS - Access the Terminal.mp4

6.35MB

1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4

35.27MB

1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4

22.15MB

1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp4

7.65MB

1. Installation and Setup/9. Windows - Install Anaconda Distribution.mp4

15.2MB

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

6.33MB

10. Working with Dates and Times/10. Install pandas-datareader Library.mp4

5.9MB

10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4

25.48MB

10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4

18.34MB

10. Working with Dates and Times/13. Timestamp Object Attributes.mp4

19.57MB

10. Working with Dates and Times/14. The .truncate() Method.mp4

9.04MB

10. Working with Dates and Times/15. pd.DateOffset Objects.mp4

25.58MB

10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4

31.91MB

10. Working with Dates and Times/17. The pandas Timedelta Object.mp4

15.41MB

10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4

19.55MB

10. Working with Dates and Times/2. Review of Python's datetime Module.mp4

16.74MB

10. Working with Dates and Times/3. The pandas Timestamp Object.mp4

12.81MB

10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4

9.65MB

10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4

22.88MB

10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4

19.68MB

10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4

18.54MB

10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4

16.33MB

10. Working with Dates and Times/9. The .dt Accessor.mp4

13.69MB

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

13.68MB

11. Panels/10. The .swapaxes() Method.mp4

9.71MB

11. Panels/11. A Review of the Panels Module.html

131B

11. Panels/2. The Axes of a Panel Object.mp4

16.31MB

11. Panels/3. Panel Attributes.mp4

10.5MB

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

8.25MB

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

13.54MB

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

8.69MB

11. Panels/7. The .major_xs() Method.mp4

12.12MB

11. Panels/8. The .minor_xs() Method.mp4

13.62MB

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

15.73MB

12. Input and Output/1. Intro to the Input and Output Module.mp4

2.81MB

12. Input and Output/2. Feed pd.read_csv() Method a URL Argument.mp4

7.61MB

12. Input and Output/3. Quick Object Conversions.mp4

11.36MB

12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.mp4

10.67MB

12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4

5.98MB

12. Input and Output/6. Import Excel File into pandas.mp4

19.13MB

12. Input and Output/7. Export Excel File.mp4

17.8MB

12. Input and Output/8. Input and Output.html

131B

13. Visualization/1. Intro to Visualization Module.mp4

7.31MB

13. Visualization/2. The .plot() Method.mp4

18.97MB

13. Visualization/3. Modifying Aesthetics with Templates.mp4

12.09MB

13. Visualization/4. Bar Graphs.mp4

12.27MB

13. Visualization/5. Pie Charts.mp4

9.87MB

13. Visualization/6. Histograms.mp4

12.17MB

13. Visualization/7. Visualization.html

131B

14. Options and Settings/1. Introduction to the Options and Settings Module.mp4

3.33MB

14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.mp4

19.83MB

14. Options and Settings/3. Changing pandas Options with Methods.mp4

13.92MB

14. Options and Settings/4. The precision Option.mp4

6.1MB

15. Conclusion/1. Conclusion.mp4

2.95MB

2. Series/1. Create Jupyter Notebook for the Series Module.mp4

3.81MB

2. Series/10. More Series Attributes.mp4

11.66MB

2. Series/11. The .sort_values() Method.mp4

10.83MB

2. Series/11.1 Official pandas Documentation.html

145B

2. Series/12. The inplace Parameter.mp4

9.39MB

2. Series/13. The .sort_index() Method.mp4

8.58MB

2. Series/13.1 Official pandas Documentation.html

144B

2. Series/14. Python's in Keyword.mp4

7.3MB

2. Series/15. Extract Series Values by Index Position.mp4

8.9MB

2. Series/16. Extract Series Values by Index Label.mp4

13.74MB

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

9.56MB

2. Series/18. Math Methods on Series Objects.mp4

10.16MB

2. Series/19. The .idxmax() and .idxmin() Methods.mp4

5.75MB

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

18.12MB

2. Series/20. The .value_counts() Method.mp4

6.73MB

2. Series/21. The .apply() Method.mp4

12.32MB

2. Series/22. The .map() Method.mp4

13.09MB

2. Series/23. A Review of the Series Module.html

131B

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

5.19MB

2. Series/4. Intro to Attributes.mp4

12.86MB

2. Series/5. Intro to Methods.mp4

7.91MB

2. Series/6. Parameters and Arguments.mp4

18.28MB

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

21.14MB

2. Series/8. The .head() and .tail() Methods.mp4

6.47MB

2. Series/8.1 Official pandas Documentation.html

138B

2. Series/9. Python Built-In Functions.mp4

9.87MB

3. DataFrames I/1. Intro to DataFrames I Module.mp4

17.63MB

3. DataFrames I/10. Fill in Null Values with the .fillna() Method.mp4

10.75MB

3. DataFrames I/10.1 Official pandas Documentation.html

143B

3. DataFrames I/11. The .astype() Method.mp4

23.86MB

3. DataFrames I/11.1 Official pandas Documentation.html

143B

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

13.28MB

3. DataFrames I/12.1 Official pandas Documentation.html

148B

3. DataFrames I/13. Sort a DataFrame with the .sort_values() Method, Part II.mp4

8.83MB

3. DataFrames I/13.1 Official pandas Documentation.html

148B

3. DataFrames I/14. Sort DataFrame with the .sort_index() Method.mp4

6.56MB

3. DataFrames I/14.1 Official pandas Documentation.html

147B

3. DataFrames I/15. Rank Values with the .rank() Method.mp4

13.16MB

3. DataFrames I/15.1 Official pandas Documentation.html

141B

3. DataFrames I/2. Shared Methods and Attributes between Series and DataFrames.mp4

15.62MB

3. DataFrames I/3. Differences between Shared Methods.mp4

13.1MB

3. DataFrames I/4. Select One Column from a DataFrame.mp4

14.87MB

3. DataFrames I/5. Select Two or More Columns from a DataFrame.mp4

9.94MB

3. DataFrames I/6. Add New Column to DataFrame.mp4

17.23MB

3. DataFrames I/7. Broadcasting Operations.mp4

18.23MB

3. DataFrames I/8. A Review of the .value_counts() Method.mp4

8.42MB

3. DataFrames I/9. Drop Rows with Null Values.mp4

19.2MB

4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4

24.44MB

4. DataFrames II/10. The .unique() and .nunique() Methods.mp4

8.19MB

4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4

27.4MB

4. DataFrames II/3. Filter with More than One Condition (AND - &).mp4

9.29MB

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

16.75MB

4. DataFrames II/5. The .isin() Method.mp4

12.54MB

4. DataFrames II/6. The .isnull() and .notnull() Methods.mp4

12.26MB

4. DataFrames II/7. The .between() Method.mp4

16.76MB

4. DataFrames II/8. The .duplicated() Method.mp4

19.56MB

4. DataFrames II/9. The .drop_duplicates() Method.mp4

17.55MB

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

7.67MB

5. DataFrames III/10. Delete Rows or Columns from a DataFrame.mp4

16.21MB

5. DataFrames III/11. Create Random Sample with the .sample() Method.mp4

9.33MB

5. DataFrames III/12. The .nsmallest() and .nlargest() Methods.mp4

12.07MB

5. DataFrames III/13. Filtering with the .where() Method.mp4

13.56MB

5. DataFrames III/14. The .query() Method.mp4

19.93MB

5. DataFrames III/15. A Review of the .apply() Method on Single Columns.mp4

11.75MB

5. DataFrames III/16. The .apply() Method with Row Values.mp4

13.41MB

5. DataFrames III/17. The .copy() Method.mp4

15.45MB

5. DataFrames III/2. The .set_index() and .reset_index() Methods.mp4

13.19MB

5. DataFrames III/2.1 set_index Documentation.html

147B

5. DataFrames III/2.2 reset_index Documentation.html

149B

5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4

25.87MB

5. DataFrames III/3.1 loc[] Documentation.html

141B

5. DataFrames III/4. Retrieve Rows by Index Position with .iloc[].mp4

13.31MB

5. DataFrames III/5. The Catch-All .ix[] Method.mp4

18.56MB

5. DataFrames III/6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4

12.36MB

5. DataFrames III/7. Set New Values for a Specific Cell or Row.mp4

8.89MB

5. DataFrames III/8. Set Multiple Values in DataFrame.mp4

20.54MB

5. DataFrames III/9. Rename Index Labels or Columns in a DataFrame.mp4

13.4MB

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

13.87MB

6. Working with Text Data/2. Common String Methods - lower, upper, title, and len.mp4

14.88MB

6. Working with Text Data/3. The .str.replace() Method.mp4

16MB

6. Working with Text Data/4. Filtering with String Methods.mp4

15.54MB

6. Working with Text Data/5. More String Methods - strip, lstrip, and rstrip.mp4

9.54MB

6. Working with Text Data/6. String Methods on Index and Columns.mp4

11.13MB

6. Working with Text Data/7. Split Strings by Characters with .str.split() Method.mp4

17.52MB

6. Working with Text Data/8. More Practice with Splits.mp4

11.93MB

6. Working with Text Data/9. The expand and n Parameters of the .str.split() Method.mp4

15.3MB

7. MultiIndex/1. Intro to the MultiIndex Module.mp4

8.33MB

7. MultiIndex/10. The .unstack() Method, Part 1.mp4

8.48MB

7. MultiIndex/11. The .unstack() Method, Part 2.mp4

14.53MB

7. MultiIndex/12. The .unstack() Method, Part 3.mp4

11.97MB

7. MultiIndex/13. The .pivot() Method.mp4

12.11MB

7. MultiIndex/14. The .pivot_table() Method.mp4

22.17MB

7. MultiIndex/15. The pd.melt() Method.mp4

17.26MB

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

21.05MB

7. MultiIndex/3. The .get_level_values() Method.mp4

16.55MB

7. MultiIndex/4. The .set_names() Method.mp4

6.09MB

7. MultiIndex/5. The sort_index() Method.mp4

10.25MB

7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp4

17.34MB

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

11.92MB

7. MultiIndex/8. The .swaplevel() Method.mp4

5.18MB

7. MultiIndex/9. The .stack() Method.mp4

13.19MB

8. GroupBy/1. Intro to the Groupby Module.mp4

14.29MB

8. GroupBy/2. First Operations with groupby Object.mp4

23.08MB

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

10.14MB

8. GroupBy/4. Methods on the Groupby Object and DataFrame Columns.mp4

20.49MB

8. GroupBy/5. Grouping by Multiple Columns.mp4

10.35MB

8. GroupBy/6. The .agg() Method.mp4

13.18MB

8. GroupBy/7. Iterating through Groups.mp4

21.37MB

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

11.46MB

9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4

22.7MB

9. Merging, Joining, and Concatenating/11. The .join() Method.mp4

6.27MB

9. Merging, Joining, and Concatenating/12. The pd.merge() Method.mp4

6.85MB

9. Merging, Joining, and Concatenating/2. The pd.concat() Method, Part 1.mp4

12.56MB

9. Merging, Joining, and Concatenating/3. The pd.concat() Method, Part 2.mp4

13.21MB

9. Merging, Joining, and Concatenating/4. The .append() Method on a DataFrame.mp4

5.13MB

9. Merging, Joining, and Concatenating/5. Inner Joins, Part 1.mp4

17.92MB

9. Merging, Joining, and Concatenating/6. Inner Joins, Part 2.mp4

16.61MB

9. Merging, Joining, and Concatenating/7. Outer Joins.mp4

25.94MB

9. Merging, Joining, and Concatenating/8. Left Joins.mp4

21MB

9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.mp4

20.24MB

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