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[ DevCourseWeb com ] Udemy - Master Data Science with Python in 10 Hours 2021
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1. Introduction
1. Welcome!.mp4
1. Welcome!.srt
2. Introduction to Data Science.mp4
2. Introduction to Data Science.srt
2. Anaconda Installation Guide and Jupyter Notebook Walk-through
1. Anaconda Installation.mp4
1. Anaconda Installation.srt
1.1 Anaconda Website.html
2. Jupyter Notebook Walk-through.mp4
2. Jupyter Notebook Walk-through.srt
2.2 Jupyter website.html
3. Lecture Materials - All the Jupyter Notebooks.html
Data_Science_with_Python
Section 1 - Python
01 - Numbers and operations.ipynb
02 - Strings.ipynb
03 - Formatting Strings.ipynb
04 - Lists.ipynb
05- Tuples.ipynb
06 - Dictionary.ipynb
07 - if...else.ipynb
08 - while and for loops.ipynb
09 - functions.ipynb
Python Exercises - solutions.ipynb
Python Exercises.ipynb
Section 2 - Numpy
1 - Numpy arrays.ipynb
2 - Numpy arithmetical operations.ipynb
3 - Numpy array indexing and selection.ipynb
4 - Numpy built-in functions.ipynb
Numpy exercises - solutions.ipynb
Numpy exercises.ipynb
Section 3 - Pandas
1 - Pandas Series.ipynb
10 - Pandas Pivoting.ipynb
11 - Pandas Combining DataFrames - Merge.ipynb
12 - Pandas Combining DataFrames - Concatenation and Join.ipynb
13 - Pandas replacing values.ipynb
14 - Pandas Groupby.ipynb
15 - Pandas built-in functions.ipynb
16 - Pandas Cross Tabulation.ipynb
2 - Pandas Dataframes.ipynb
3 - Pandas Indexing and Selection.ipynb
4 - Pandas reindexing.ipynb
5 - Pandas column, row elimination (drop) .ipynb
6 - Pandas Sort.ipynb
7 - Pandas Statistics.ipynb
8 - Pandas missing values.ipynb
9 - Pandas Multi-index,Hierarchy.ipynb
Pandas exercises - solutions.ipynb
Pandas exercises.ipynb
data_car.data
data_car_cross.csv
data_groupby.csv
data_nba.csv
data_netflix.csv
data_pivot.csv
Section 4 - Data Visualisation
1 - Data Visualisation I - Matplotlib.ipynb
2 - Data Visualisation II - Seaborn.ipynb
Data Visualization - exercises - solutions.ipynb
Data Visualization - exercises.ipynb
data_car_cross.csv
data_restaurant.csv
data_student.csv
3. Python Basics
1. Numbers and Basic Operations.mp4
1. Numbers and Basic Operations.srt
1.1 A lot of python documentation!.html
10. Functions - Part II.mp4
10. Functions - Part II.srt
11. Exercises I - Python Exercises Overview.mp4
11. Exercises I - Python Exercises Overview.srt
12. Solutions I - Python Solutions.mp4
12. Solutions I - Python Solutions.srt
2. Strings.mp4
2. Strings.srt
3. Format Print.mp4
3. Format Print.srt
4. Lists.mp4
4. Lists.srt
5. Tuples.mp4
5. Tuples.srt
6. Dictionaries.mp4
6. Dictionaries.srt
7. If Conditions.mp4
7. If Conditions.srt
8. While and For Loops.mp4
8. While and For Loops.srt
9. Functions - Part I.mp4
9. Functions - Part I.srt
4. A Faster Alternative Numpy
1. Numpy Library Introduction.mp4
1. Numpy Library Introduction.srt
1.1 Numpy website for documentation and tutorials.html
2. Numpy Arrays.mp4
2. Numpy Arrays.srt
3. Numpy Arithmetical Operations.mp4
3. Numpy Arithmetical Operations.srt
4. Numpy Selection and Indexing - Part I.mp4
4. Numpy Selection and Indexing - Part I.srt
5. Numpy Selection and Indexing - Part II.mp4
5. Numpy Selection and Indexing - Part II.srt
6. Numpy Some Built-in Functions.mp4
6. Numpy Some Built-in Functions.srt
7. Exercises II Numpy Exercises Overview.mp4
7. Exercises II Numpy Exercises Overview.srt
8. Solutions II Numpy Solutions.mp4
8. Solutions II Numpy Solutions.srt
5. Dealing with Large Data Sets Pandas
1. Pandas Library Introduction.mp4
1. Pandas Library Introduction.srt
1.1 Pandas website for documentation and tutorials.html
10. Some Statistical Methods.mp4
10. Some Statistical Methods.srt
11. Methods Dealing with Missing Data.mp4
11. Methods Dealing with Missing Data.srt
12. Hierarchy - Multi Index.mp4
12. Hierarchy - Multi Index.srt
13. Methods Restructure Data - Pivot.mp4
13. Methods Restructure Data - Pivot.srt
14. Combine DataFrames Merge.mp4
14. Combine DataFrames Merge.srt
15. Combine DataFrames Concatenation and Join.mp4
15. Combine DataFrames Concatenation and Join.srt
16. Methods to Modify Data Replace.mp4
16. Methods to Modify Data Replace.srt
17. Group Data Groupby.mp4
17. Group Data Groupby.srt
18. Some Useful Built-in Functions.mp4
18. Some Useful Built-in Functions.srt
19. Correlating Data Cross Tabulation.mp4
19. Correlating Data Cross Tabulation.srt
2. Data Structures Series - Part I.mp4
2. Data Structures Series - Part I.srt
20. Exercises III Pandas Exercises Overview (using Netflix data).mp4
20. Exercises III Pandas Exercises Overview (using Netflix data).srt
21. Solutions III Pandas Solutions.mp4
21. Solutions III Pandas Solutions.srt
3. Data Structures Series - Part II.mp4
3. Data Structures Series - Part II.srt
4. Data Structures DataFrames - Part I.mp4
4. Data Structures DataFrames - Part I.srt
5. Data Structures DataFrames - Part II.mp4
5. Data Structures DataFrames - Part II.srt
6. Methods to Modify Data Reindex - Part I.mp4
6. Methods to Modify Data Reindex - Part I.srt
7. Methods to Modify Data Reindex - Part II.mp4
7. Methods to Modify Data Reindex - Part II.srt
8. Methods to Modify Data Drop.mp4
8. Methods to Modify Data Drop.srt
9. Methods to Modify Data Sort.mp4
9. Methods to Modify Data Sort.srt
6. Visualization I - Matplotlib
1. Matplotlib Library Introduction.mp4
1. Matplotlib Library Introduction.srt
1.1 Matplotlib website for documentation and tutorials.html
2. Matplotlib Creating Plots - Part I.mp4
2. Matplotlib Creating Plots - Part I.srt
3. Matplotlib Creating Plots - Part II.mp4
3. Matplotlib Creating Plots - Part II.srt
4. Matplotlib Some Plot Types.mp4
4. Matplotlib Some Plot Types.srt
7. Visualization II - Seaborn
1. Seaborn Library Introduction.mp4
1. Seaborn Library Introduction.srt
1.1 Seaborn website for documentation and tutorials.html
10. Exercises IV Seaborn Exercises Overview.mp4
10. Exercises IV Seaborn Exercises Overview.srt
11. Solutions IV Seaborn Solutions.mp4
11. Solutions IV Seaborn Solutions.srt
12. Congratulations!.html
2. Seaborn Notebook Overview.mp4
2. Seaborn Notebook Overview.srt
3. Seaborn Distribution Plots.mp4
3. Seaborn Distribution Plots.srt
4. Seaborn Categorical Plots - Part I.mp4
4. Seaborn Categorical Plots - Part I.srt
5. Seaborn Categorical Plots - Part II.mp4
5. Seaborn Categorical Plots - Part II.srt
6. Seaborn Matrix Plots.mp4
6. Seaborn Matrix Plots.srt
7. Seaborn Grid Plots.mp4
7. Seaborn Grid Plots.srt
8. Seaborn Regression and Grid Plots - lmplot.mp4
8. Seaborn Regression and Grid Plots - lmplot.srt
9. Seaborn Customizing Plots.mp4
9. Seaborn Customizing Plots.srt
Bonus Resources.txt
MyBlogs.pdf
Torrent description
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