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

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at 5:50am GMT+1
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2b355fa71ed49d356ca026416c4f074f44a86d83
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Description
Data Analysis with Pandas and Python

Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!

For More Courses Visit: https://desirecourse.net

File list
  • [DesireCourse.Net] Udemy - Data Analysis with Pandas and Python
  • 1. Installation and Setup/1. Introduction to the Course.mp4 34 MB
  • 1. Installation and Setup/1. Introduction to the Course.srt 19.6 KB
  • 1. Installation and Setup/1.1 pandas.zip.zip 684.7 KB
  • 1. Installation and Setup/10. Windows - Install Anaconda Distribution.mp4 15.2 MB
  • 1. Installation and Setup/10. Windows - Install Anaconda Distribution.srt 6.2 KB
  • 1. Installation and Setup/11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 19.1 MB
  • 1. Installation and Setup/11. Windows - Access the Command Prompt and Update Anaconda Libraries.srt 18 KB
  • 1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 15.5 MB
  • 1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.srt 15.1 KB
  • 1. Installation and Setup/13. Intro to the Jupyter Notebook Interface.mp4 9.3 MB
  • 1. Installation and Setup/13. Intro to the Jupyter Notebook Interface.srt 8.4 KB
  • 1. Installation and Setup/14. Cell Types and Cell Modes.mp4 11.7 MB
  • 1. Installation and Setup/14. Cell Types and Cell Modes.srt 11.5 KB
  • 1. Installation and Setup/15. Code Cell Execution.mp4 8.2 MB
  • 1. Installation and Setup/15. Code Cell Execution.srt 7.8 KB
  • 1. Installation and Setup/16. Popular Keyboard Shortcuts.mp4 6.3 MB
  • 1. Installation and Setup/16. Popular Keyboard Shortcuts.srt 5.1 KB
  • 1. Installation and Setup/17. Import Libraries into Jupyter Notebook.mp4 11.5 MB
  • 1. Installation and Setup/17. Import Libraries into Jupyter Notebook.srt 12.2 KB
  • 1. Installation and Setup/18. Python Crash Course, Part 1 - Data Types and Variables.mp4 12 MB
  • 1. Installation and Setup/18. Python Crash Course, Part 1 - Data Types and Variables.srt 11.3 KB
  • 1. Installation and Setup/19. Python Crash Course, Part 2 - Lists.mp4 9 MB
  • 1. Installation and Setup/19. Python Crash Course, Part 2 - Lists.srt 7.7 KB
  • 1. Installation and Setup/2. About Me.mp4 21.3 MB
  • 1. Installation and Setup/2. About Me.srt 1.7 KB
  • 1. Installation and Setup/20. Python Crash Course, Part 3 - Dictionaries.mp4 7.2 MB
  • 1. Installation and Setup/20. Python Crash Course, Part 3 - Dictionaries.srt 6.3 KB
  • 1. Installation and Setup/21. Python Crash Course, Part 4 - Operators.mp4 7.9 MB
  • 1. Installation and Setup/21. Python Crash Course, Part 4 - Operators.srt 7 KB
  • 1. Installation and Setup/22. Python Crash Course, Part 5 - Functions.mp4 10.1 MB
  • 1. Installation and Setup/22. Python Crash Course, Part 5 - Functions.srt 9.6 KB
  • 1. Installation and Setup/3. Completed Course Files.html 782 B
  • 1. Installation and Setup/3.1 CompletedCourseFiles.zip.zip 363.3 KB
  • 1. Installation and Setup/4. Mac OS - Download the Anaconda Distribution.mp4 7.9 MB
  • 1. Installation and Setup/4. Mac OS - Download the Anaconda Distribution.srt 5.1 KB
  • 1. Installation and Setup/5. Mac OS - Install Anaconda Distribution.mp4 18.1 MB
  • 1. Installation and Setup/5. Mac OS - Install Anaconda Distribution.srt 8.8 KB
  • 1. Installation and Setup/6. Mac OS - Access the Terminal.mp4 6.4 MB
  • 1. Installation and Setup/6. Mac OS - Access the Terminal.srt 2.9 KB
  • 1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.mp4 35.3 MB
  • 1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.srt 17.7 KB
  • 1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 22.2 MB
  • 1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.srt 17.9 KB
  • 1. Installation and Setup/9. Windows - Download the Anaconda Distribution.mp4 7.6 MB
  • 1. Installation and Setup/9. Windows - Download the Anaconda Distribution.srt 6.1 KB
  • 10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp4 6.3 MB
  • 10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.srt 6.2 KB
  • 10. Working with Dates and Times/10. Install pandas-datareader Library.mp4 5.9 MB
  • 10. Working with Dates and Times/10. Install pandas-datareader Library.srt 3.5 KB
  • 10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 25.5 MB
  • 10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.srt 16.2 KB
  • 10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 18.3 MB
  • 10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.srt 11.2 KB
  • 10. Working with Dates and Times/13. Timestamp Object Attributes.mp4 19.6 MB
  • 10. Working with Dates and Times/13. Timestamp Object Attributes.srt 10.6 KB
  • 10. Working with Dates and Times/14. The .truncate() Method.mp4 9 MB
  • 10. Working with Dates and Times/14. The .truncate() Method.srt 4.1 KB
  • 10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 25.6 MB
  • 10. Working with Dates and Times/15. pd.DateOffset Objects.srt 18.4 KB
  • 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 31.9 MB
  • 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.srt 21.1 KB
  • 10. Working with Dates and Times/17. The pandas Timedelta Object.mp4 15.4 MB
  • 10. Working with Dates and Times/17. The pandas Timedelta Object.srt 12.2 KB
  • 10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4 19.6 MB
  • 10. Working with Dates and Times/18. Timedeltas in a Dataset.srt 14.4 KB
  • 10. Working with Dates and Times/2. Review of Python's datetime Module.mp4 16.7 MB
  • 10. Working with Dates and Times/2. Review of Python's datetime Module.srt 13.2 KB
  • 10. Working with Dates and Times/3. The pandas Timestamp Object.mp4 12.8 MB
  • 10. Working with Dates and Times/3. The pandas Timestamp Object.srt 10.2 KB
  • 10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4 9.7 MB
  • 10. Working with Dates and Times/4. The pandas DateTimeIndex Object.srt 7.2 KB
  • 10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 22.9 MB
  • 10. Working with Dates and Times/5. The pd.to_datetime() Method.srt 16 KB
  • 10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 19.7 MB
  • 10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.srt 16.8 KB
  • 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 18.5 MB
  • 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.srt 12.6 KB
  • 10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 16.3 MB
  • 10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.srt 10.5 KB
  • 10. Working with Dates and Times/9. The .dt Accessor.mp4 13.7 MB
  • 10. Working with Dates and Times/9. The .dt Accessor.srt 10.6 KB
  • 11. Panels/1. DEPRECATION WARNING.html 474 B
  • 11. Panels/10. Transpose a Panel with the .transpose() Method.mp4 15.7 MB
  • 11. Panels/10. Transpose a Panel with the .transpose() Method.srt 11.8 KB
  • 11. Panels/11. The .swapaxes() Method.mp4 9.7 MB
  • 11. Panels/11. The .swapaxes() Method.srt 6.3 KB
  • 11. Panels/12. A Review of the Panels Module.html 135 B
  • 11. Panels/2. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 13.7 MB
  • 11. Panels/2. Intro to the Module + Fetch Panel Dataset from Google Finance.srt 11.9 KB
  • 11. Panels/3. The Axes of a Panel Object.mp4 16.3 MB
  • 11. Panels/3. The Axes of a Panel Object.srt 12.1 KB
  • 11. Panels/4. Panel Attributes.mp4 10.5 MB
  • 11. Panels/4. Panel Attributes.srt 7.5 KB
  • 11. Panels/5. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.3 MB
  • 11. Panels/5. Use Bracket Notation to Extract a DataFrame from a Panel.srt 6.3 KB
  • 11. Panels/6. Extracting with the .loc, .iloc, and .ix Methods.mp4 13.5 MB
  • 11. Panels/6. Extracting with the .loc, .iloc, and .ix Methods.srt 10.1 KB
  • 11. Panels/7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 8.7 MB
  • 11. Panels/7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).srt 6 KB

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