Udemy - Master Data Science with Python in 10 Hours | 2021

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1. Introduction
  • 1. Welcome!.mp4 (5.4 MB)
  • 1. Welcome!.srt (1.8 KB)
  • 2. Introduction to Data Science.mp4 (22.1 MB)
  • 2. Introduction to Data Science.srt (9.3 KB)
2. Anaconda Installation Guide and Jupyter Notebook Walk-through
  • 1. Anaconda Installation.mp4 (16.3 MB)
  • 1. Anaconda Installation.srt (3.3 KB)
  • 1.1 Anaconda Website.html (0.1 KB)
  • 2. Jupyter Notebook Walk-through.mp4 (26.2 MB)
  • 2. Jupyter Notebook Walk-through.srt (10.4 KB)
  • 2.1 Data_Science_with_Python.zip (2.8 MB)
  • 2.2 Jupyter website.html (0.1 KB)
  • 3. Lecture Materials - All the Jupyter Notebooks.html (0.3 KB)
  • 3.1 Data_Science_with_Python.zip (2.8 MB)
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3. Python Basics
  • 1. Numbers and Basic Operations.mp4 (49.3 MB)
  • 1. Numbers and Basic Operations.srt (14.6 KB)
  • 1.1 A lot of python documentation!.html (0.1 KB)
  • 10. Functions - Part II.mp4 (88.1 MB)
  • 10. Functions - Part II.srt (22.0 KB)
  • 11. Exercises I - Python Exercises Overview.mp4 (37.9 MB)
  • 11. Exercises I - Python Exercises Overview.srt (8.5 KB)
  • 12. Solutions I - Python Solutions.mp4 (89.9 MB)
  • 12. Solutions I - Python Solutions.srt (22.0 KB)
  • 2. Strings.mp4 (59.5 MB)
  • 2. Strings.srt (22.7 KB)
  • 3. Format Print.mp4 (47.3 MB)
  • 3. Format Print.srt (11.8 KB)
  • 4. Lists.mp4 (24.5 MB)
  • 4. Lists.srt (8.4 KB)
  • 5. Tuples.mp4 (18.5 MB)
  • 5. Tuples.srt (4.8 KB)
  • 6. Dictionaries.mp4 (38.8 MB)
  • 6. Dictionaries.srt (11.7 KB)
  • 7. If Conditions.mp4 (38.8 MB)
  • 7. If Conditions.srt (12.7 KB)
  • 8. While and For Loops.mp4 (58.4 MB)
  • 8. While and For Loops.srt (30.5 KB)
  • 9. Functions - Part I.mp4 (67.4 MB)
  • 9. Functions - Part I.srt (22.8 KB)
4. A Faster Alternative Numpy
  • 1. Numpy Library Introduction.mp4 (35.0 MB)
  • 1. Numpy Library Introduction.srt (5.5 KB)
  • 1.1 Numpy website for documentation and tutorials.html (0.1 KB)
  • 2. Numpy Arrays.mp4 (89.8 MB)
  • 2. Numpy Arrays.srt (19.7 KB)
  • 3. Numpy Arithmetical Operations.mp4 (24.4 MB)
  • 3. Numpy Arithmetical Operations.srt (5.5 KB)
  • 4. Numpy Selection and Indexing - Part I.mp4 (30.7 MB)
  • 4. Numpy Selection and Indexing - Part I.srt (9.4 KB)
  • 5. Numpy Selection and Indexing - Part II.mp4 (51.6 MB)
  • 5. Numpy Selection and Indexing - Part II.srt (14.3 KB)
  • 6. Numpy Some Built-in Functions.mp4 (77.2 MB)
  • 6. Numpy Some Built-in Functions.srt (18.3 KB)
  • 7. Exercises II Numpy Exercises Overview.mp4 (33.5 MB)
  • 7. Exercises II Numpy Exercises Overview.srt (6.2 KB)
  • 8. Solutions II Numpy Solutions.mp4 (68.6 MB)
  • 8. Solutions II Numpy Solutions.srt (15.3 KB)
5. Dealing with Large Data Sets Pandas
  • 1. Pandas Library Introduction.mp4 (10.7 MB)
  • 1. Pandas Library Introduction.srt (4.0 KB)
  • 1.1 Pandas website for documentation and tutorials.html (0.1 KB)
  • 10. Some Statistical Methods.mp4 (50.6 MB)
  • 10. Some Statistical Methods.srt (11.1 KB)
  • 11. Methods Dealing with Missing Data.mp4 (46.2 MB)
  • 11. Methods Dealing with Missing Data.srt (13.8 KB)
  • 12. Hierarchy - Multi Index.mp4 (72.8 MB)
  • 12. Hierarchy - Multi Index.srt (22.1 KB)
  • 13. Methods Restructure Data - Pivot.mp4 (36.2 MB)
  • 13. Methods Restructure Data - Pivot.srt (9.4 KB)
  • 14. Combine DataFrames Merge.mp4 (58.7 MB)
  • 14. Combine DataFrames Merge.srt (18.8 KB)
  • 15. Combine DataFrames Concatenation and Join.mp4 (51.9 MB)
  • 15. Combine DataFrames Concatenation and Join.srt (14.1 KB)
  • 16. Methods to Modify Data Replace.mp4 (43.0 MB)
  • 16. Methods to Modify Data Replace.srt (15.4 KB)
  • 17. Group Data Groupby.mp4 (69.8 MB)
  • 17. Group Data Groupby.srt (15.4 KB)
  • 18. Some Useful Built-in Functions.mp4 (109.2 MB)
  • 18. Some Useful Built-in Functions.srt (19.4 KB)
  • 19. Correlating Data Cross Tabulation.mp4 (39.2 MB)
  • 19. Correlating Data Cross Tabulation.srt (9.1 KB)
  • 2. Data Structures Series - Part I.mp4 (27.7 MB)
  • 2. Data Structures Series - Part I.srt (5.6 KB)
  • 20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 (88.4 MB)
  • 20. Exercises III Pandas Exercises Overview (using Netflix data).srt (12.0 KB)
  • 21. Solutions III Pandas Solutions.mp4 (220.3 MB)
  • 21. Solutions III Pandas Solutions.srt (34.7 KB)
  • 3. Data Structures Series - Part II.mp4 (95.3 MB)
  • 3. Data Structures Series - Part II.srt (23.4 KB)
  • 4. Data Structures DataFrames - Part I.mp4 (86.0 MB)
  • 4. Data Structures DataFrames - Part I.srt (16.5 KB)
  • 5. Data Structures DataFrames - Part II.mp4 (37.7 MB)
  • 5. Data Structures DataFrames - Part II.srt (9.5 KB)
  • 6. Methods to Modify Data Reindex - Part I.mp4 (12.3 MB)
  • 6. Methods to Modify Data Reindex - Part I.srt (5.5 KB)
  • 7. Methods to Modify Data Reindex - Part II.mp4 (83.0 MB)
  • 7. Methods to Modify Data Reindex - Part II.srt (17.8 KB)
  • 8. Methods to Modify Data Drop.mp4 (48.7 MB)
  • 8. Methods to Modify Data Drop.srt (14.1 KB)
  • 9. Methods to Modify Data Sort.mp4 (42.7 MB)
  • 9. Methods to Modify Data Sort.srt (15.5 KB)
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6. Visualization I - Matplotlib
  • 1. Matplotlib Library Introduction.mp4 (26.6 MB)
  • 1. Matplotlib Library Introduction.srt (5.6 KB)
  • 1.1 Matplotlib website for documentation and tutorials.html (0.1

Description

Master Data Science with Python in 10 Hours | 2021

Learn Python, its libraries for Data Science (Pandas,Matplotlib,Seaborn) and data pre-processing for Machine Learning!

Created by Berk Hakbilen, Tarik Sahin
Last updated 1/2021
English
English [Auto]

For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me



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Udemy - Master Data Science with Python in 10 Hours | 2021
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