[GigaCourse.Com] Udemy - Master Data Science with Python in 10 Hours 2021

Creation Time	June 12, 2025, 12:29 a.m.
Last Access Time	Feb. 2, 2026, 4:22 p.m.
File Size	3.2 GB
Keywords	10 with Data in - Udemy Hours Python Master GigaCourse Science Com 2021
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Total Files	141
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5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.mp4 220.3 MB
7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.mp4 163.5 MB
5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.mp4 109.2 MB
5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.mp4 95.3 MB
6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.mp4 93.9 MB
3. Python Basics/12. Solutions I - Python Solutions.mp4 89.9 MB
4. A Faster Alternative Numpy/2. Numpy Arrays.mp4 89.8 MB
5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 88.4 MB
3. Python Basics/10. Functions - Part II.mp4 88.1 MB
5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.mp4 86.0 MB
5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.mp4 83.0 MB
6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.mp4 78.0 MB
4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.mp4 77.2 MB
5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.mp4 72.8 MB
5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.mp4 69.8 MB
6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.mp4 69.4 MB
4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.mp4 68.6 MB
7. Visualization II - Seaborn/7. Seaborn Grid Plots.mp4 68.1 MB
3. Python Basics/9. Functions - Part I.mp4 67.4 MB
7. Visualization II - Seaborn/3. Seaborn Distribution Plots.mp4 66.6 MB
7. Visualization II - Seaborn/9. Seaborn Customizing Plots.mp4 63.7 MB
7. Visualization II - Seaborn/10. Exercises IV Seaborn Exercises Overview.mp4 62.5 MB
3. Python Basics/2. Strings.mp4 59.5 MB
5. Dealing with Large Data Sets Pandas/14. Combine DataFrames Merge.mp4 58.7 MB
3. Python Basics/8. While and For Loops.mp4 58.4 MB
5. Dealing with Large Data Sets Pandas/15. Combine DataFrames Concatenation and Join.mp4 51.9 MB
4. A Faster Alternative Numpy/5. Numpy Selection and Indexing - Part II.mp4 51.6 MB
5. Dealing with Large Data Sets Pandas/10. Some Statistical Methods.mp4 50.6 MB
7. Visualization II - Seaborn/5. Seaborn Categorical Plots - Part II.mp4 49.9 MB
3. Python Basics/1. Numbers and Basic Operations.mp4 49.3 MB
5. Dealing with Large Data Sets Pandas/8. Methods to Modify Data Drop.mp4 48.7 MB
7. Visualization II - Seaborn/6. Seaborn Matrix Plots.mp4 47.3 MB
3. Python Basics/3. Format Print.mp4 47.3 MB
5. Dealing with Large Data Sets Pandas/11. Methods Dealing with Missing Data.mp4 46.2 MB
5. Dealing with Large Data Sets Pandas/16. Methods to Modify Data Replace.mp4 43.0 MB
5. Dealing with Large Data Sets Pandas/9. Methods to Modify Data Sort.mp4 42.7 MB
5. Dealing with Large Data Sets Pandas/19. Correlating Data Cross Tabulation.mp4 39.2 MB
3. Python Basics/6. Dictionaries.mp4 38.8 MB
3. Python Basics/7. If Conditions.mp4 38.8 MB
3. Python Basics/11. Exercises I - Python Exercises Overview.mp4 37.9 MB
5. Dealing with Large Data Sets Pandas/5. Data Structures DataFrames - Part II.mp4 37.7 MB
5. Dealing with Large Data Sets Pandas/13. Methods Restructure Data - Pivot.mp4 36.2 MB
4. A Faster Alternative Numpy/1. Numpy Library Introduction.mp4 35.0 MB
7. Visualization II - Seaborn/4. Seaborn Categorical Plots - Part I.mp4 34.1 MB
4. A Faster Alternative Numpy/7. Exercises II Numpy Exercises Overview.mp4 33.5 MB
7. Visualization II - Seaborn/8. Seaborn Regression and Grid Plots - lmplot.mp4 33.3 MB
4. A Faster Alternative Numpy/4. Numpy Selection and Indexing - Part I.mp4 30.7 MB
5. Dealing with Large Data Sets Pandas/2. Data Structures Series - Part I.mp4 27.7 MB
6. Visualization I - Matplotlib/1. Matplotlib Library Introduction.mp4 26.6 MB
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2. Jupyter Notebook Walk-through.mp4 26.2 MB
3. Python Basics/4. Lists.mp4 24.5 MB
7. Visualization II - Seaborn/2. Seaborn Notebook Overview.mp4 24.5 MB
4. A Faster Alternative Numpy/3. Numpy Arithmetical Operations.mp4 24.4 MB
1. Introduction/2. Introduction to Data Science.mp4 22.1 MB
3. Python Basics/5. Tuples.mp4 18.5 MB
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1. Anaconda Installation.mp4 16.3 MB
5. Dealing with Large Data Sets Pandas/6. Methods to Modify Data Reindex - Part I.mp4 12.3 MB
5. Dealing with Large Data Sets Pandas/1. Pandas Library Introduction.mp4 10.7 MB
7. Visualization II - Seaborn/1. Seaborn Library Introduction.mp4 9.7 MB
1. Introduction/1. Welcome!.mp4 5.4 MB
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2.1 Data_Science_with_Python.zip 2.8 MB
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/3.1 Data_Science_with_Python.zip 2.8 MB
5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.srt 34.7 KB
7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.srt 33.0 KB
3. Python Basics/8. While and For Loops.srt 30.5 KB
6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.srt 23.5 KB
5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.srt 23.4 KB
3. Python Basics/9. Functions - Part I.srt 22.8 KB
3. Python Basics/2. Strings.srt 22.7 KB
5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.srt 22.1 KB
3. Python Basics/10. Functions - Part II.srt 22.0 KB
3. Python Basics/12. Solutions I - Python Solutions.srt 22.0 KB
6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.srt 20.5 KB
7. Visualization II - Seaborn/3. Seaborn Distribution Plots.srt 19.9 KB
4. A Faster Alternative Numpy/2. Numpy Arrays.srt 19.7 KB
5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.srt 19.4 KB
5. Dealing with Large Data Sets Pandas/14. Combine DataFrames Merge.srt 18.8 KB
4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.srt 18.3 KB
5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.srt 17.8 KB
7. Visualization II - Seaborn/7. Seaborn Grid Plots.srt 17.7 KB
5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.srt 16.5 KB
5. Dealing with Large Data Sets Pandas/9. Methods to Modify Data Sort.srt 15.5 KB
5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.srt 15.4 KB
7. Visualization II - Seaborn/5. Seaborn Categorical Plots - Part II.srt 15.4 KB
5. Dealing with Large Data Sets Pandas/16. Methods to Modify Data Replace.srt 15.4 KB
4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.srt 15.3 KB
3. Python Basics/1. Numbers and Basic Operations.srt 14.6 KB
6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.srt 14.6 KB
4. A Faster Alternative Numpy/5. Numpy Selection and Indexing - Part II.srt 14.3 KB
5. Dealing with Large Data Sets Pandas/8. Methods to Modify Data Drop.srt 14.1 KB
5. Dealing with Large Data Sets Pandas/15. Combine DataFrames Concatenation and Join.srt 14.1 KB
5. Dealing with Large Data Sets Pandas/11. Methods Dealing with Missing Data.srt 13.8 KB
7. Visualization II - Seaborn/4. Seaborn Categorical Plots - Part I.srt 13.6 KB
7. Visualization II - Seaborn/9. Seaborn Customizing Plots.srt 13.6 KB
3. Python Basics/7. If Conditions.srt 12.7 KB
7. Visualization II - Seaborn/10. Exercises IV Seaborn Exercises Overview.srt 12.3 KB
5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).srt 12.0 KB
3. Python Basics/3. Format Print.srt 11.8 KB
3. Python Basics/6. Dictionaries.srt 11.7 KB
5. Dealing with Large Data Sets Pandas/10. Some Statistical Methods.srt 11.1 KB
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2. Jupyter Notebook Walk-through.srt 10.4 KB
7. Visualization II - Seaborn/6. Seaborn Matrix Plots.srt 10.4 KB
5. Dealing with Large Data Sets Pandas/5. Data Structures DataFrames - Part II.srt 9.5 KB
4. A Faster Alternative Numpy/4. Numpy Selection and Indexing - Part I.srt 9.4 KB
5. Dealing with Large Data Sets Pandas/13. Methods Restructure Data - Pivot.srt 9.4 KB
7. Visualization II - Seaborn/8. Seaborn Regression and Grid Plots - lmplot.srt 9.4 KB
1. Introduction/2. Introduction to Data Science.srt 9.3 KB
5. Dealing with Large Data Sets Pandas/19. Correlating Data Cross Tabulation.srt 9.1 KB
3. Python Basics/11. Exercises I - Python Exercises Overview.srt 8.5 KB
3. Python Basics/4. Lists.srt 8.4 KB
4. A Faster Alternative Numpy/7. Exercises II Numpy Exercises Overview.srt 6.2 KB
5. Dealing with Large Data Sets Pandas/2. Data Structures Series - Part I.srt 5.6 KB
6. Visualization I - Matplotlib/1. Matplotlib Library Introduction.srt 5.6 KB
5. Dealing with Large Data Sets Pandas/6. Methods to Modify Data Reindex - Part I.srt 5.5 KB
4. A Faster Alternative Numpy/3. Numpy Arithmetical Operations.srt 5.5 KB
4. A Faster Alternative Numpy/1. Numpy Library Introduction.srt 5.5 KB
3. Python Basics/5. Tuples.srt 4.8 KB
5. Dealing with Large Data Sets Pandas/1. Pandas Library Introduction.srt 4.0 KB
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1. Anaconda Installation.srt 3.3 KB
7. Visualization II - Seaborn/1. Seaborn Library Introduction.srt 3.0 KB
7. Visualization II - Seaborn/2. Seaborn Notebook Overview.srt 2.9 KB
1. Introduction/1. Welcome!.srt 1.8 KB
7. Visualization II - Seaborn/12. Congratulations!.html 309 bytes
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/3. Lecture Materials - All the Jupyter Notebooks.html 273 bytes
0. Websites you may like/[CourseClub.ME].url 122 bytes
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/[CourseClub.Me].url 122 bytes
5. Dealing with Large Data Sets Pandas/[CourseClub.Me].url 122 bytes
7. Visualization II - Seaborn/[CourseClub.Me].url 122 bytes
[CourseClub.Me].url 122 bytes
7. Visualization II - Seaborn/1.1 Seaborn website for documentation and tutorials.html 88 bytes
3. Python Basics/1.1 A lot of python documentation!.html 87 bytes
5. Dealing with Large Data Sets Pandas/1.1 Pandas website for documentation and tutorials.html 87 bytes
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1.1 Anaconda Website.html 86 bytes
6. Visualization I - Matplotlib/1.1 Matplotlib website for documentation and tutorials.html 84 bytes
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2.2 Jupyter website.html 81 bytes
4. A Faster Alternative Numpy/1.1 Numpy website for documentation and tutorials.html 79 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
2. Anaconda Installation Guide and Jupyter Notebook Walk-through/[GigaCourse.Com].url 49 bytes
5. Dealing with Large Data Sets Pandas/[GigaCourse.Com].url 49 bytes
7. Visualization II - Seaborn/[GigaCourse.Com].url 49 bytes
[GigaCourse.Com].url 49 bytes

[GigaCourse.Com] Udemy - Master Data Science with Python in 10 Hours 2021

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