| 01 - Numbers and operations.ipynb | 10.4 KB | ||
| 02 - Strings.ipynb | 9 KB | ||
| 03 - Formatting Strings.ipynb | 5 KB | ||
| 04 - Lists.ipynb | 5.9 KB | ||
| 05- Tuples.ipynb | 5.4 KB | ||
| 06 - Dictionary.ipynb | 5.6 KB | ||
| 07 - if...else.ipynb | 3.7 KB | ||
| 08 - while and for loops.ipynb | 6 KB | ||
| 09 - functions.ipynb | 6.9 KB | ||
| 1 - Data Visualisation I - Matplotlib.ipynb | 202.1 KB | ||
| 1 - Numpy arrays.ipynb | 11 KB | ||
| 1 - Pandas Series.ipynb | 12 KB | ||
| 1. Anaconda Installation.mp4 | 16.3 MB | ||
| 1. Anaconda Installation.srt | 3.3 KB | ||
| 1. Matplotlib Library Introduction.mp4 | 26.6 MB | ||
| 1. Matplotlib Library Introduction.srt | 5.6 KB | ||
| 1. Numbers and Basic Operations.mp4 | 49.3 MB | ||
| 1. Numbers and Basic Operations.srt | 14.6 KB | ||
| 1. Numpy Library Introduction.mp4 | 35 MB | ||
| 1. Numpy Library Introduction.srt | 5.5 KB | ||
| 1. Pandas Library Introduction.mp4 | 10.7 MB | ||
| 1. Pandas Library Introduction.srt | 4 KB | ||
| 1. Seaborn Library Introduction.mp4 | 9.7 MB | ||
| 1. Seaborn Library Introduction.srt | 3 KB | ||
| 1. Welcome!.mp4 | 5.4 MB | ||
| 1. Welcome!.srt | 1.8 KB | ||
| 1.1 A lot of python documentation!.html | 102.4 B | ||
| 1.1 Anaconda Website.html | 102.4 B | ||
| 1.1 Matplotlib website for documentation and tutorials.html | 102.4 B | ||
| 1.1 Numpy website for documentation and tutorials.html | 102.4 B | ||
| 1.1 Pandas website for documentation and tutorials.html | 102.4 B | ||
| 1.1 Seaborn website for documentation and tutorials.html | 102.4 B | ||
| 10 - Pandas Pivoting.ipynb | 18.4 KB | ||
| 10. Exercises IV Seaborn Exercises Overview.mp4 | 62.5 MB | ||
| 10. Exercises IV Seaborn Exercises Overview.srt | 12.3 KB | ||
| 10. Functions - Part II.mp4 | 88.1 MB | ||
| 10. Functions - Part II.srt | 22 KB | ||
| 10. Some Statistical Methods.mp4 | 50.6 MB | ||
| 10. Some Statistical Methods.srt | 11.1 KB | ||
| 11 - Pandas Combining DataFrames - Merge.ipynb | 30.7 KB | ||
| 11. Exercises I - Python Exercises Overview.mp4 | 37.9 MB | ||
| 11. Exercises I - Python Exercises Overview.srt | 8.5 KB | ||
| 11. Methods Dealing with Missing Data.mp4 | 46.2 MB | ||
| 11. Methods Dealing with Missing Data.srt | 13.8 KB | ||
| 11. Solutions IV Seaborn Solutions.mp4 | 163.5 MB | ||
| 11. Solutions IV Seaborn Solutions.srt | 33 KB | ||
| 12 - Pandas Combining DataFrames - Concatenation and Join.ipynb | 24.5 KB | ||
| 12. Congratulations!.html | 307.2 B | ||
| 12. Hierarchy - Multi Index.mp4 | 72.8 MB | ||
| 12. Hierarchy - Multi Index.srt | 22.1 KB | ||
| 12. Solutions I - Python Solutions.mp4 | 89.9 MB | ||
| 12. Solutions I - Python Solutions.srt | 22 KB | ||
| 13 - Pandas replacing values.ipynb | 13.7 KB | ||
| 13. Methods Restructure Data - Pivot.mp4 | 36.2 MB | ||
| 13. Methods Restructure Data - Pivot.srt | 9.4 KB | ||
| 14 - Pandas Groupby.ipynb | 37.6 KB | ||
| 14. Combine DataFrames Merge.mp4 | 58.7 MB | ||
| 14. Combine DataFrames Merge.srt | 18.8 KB | ||
| 15 - Pandas built-in functions.ipynb | 31.4 KB | ||
| 15. Combine DataFrames Concatenation and Join.mp4 | 51.9 MB | ||
| 15. Combine DataFrames Concatenation and Join.srt | 14.1 KB | ||
| 16 - Pandas Cross Tabulation.ipynb | 22.6 KB | ||
| 16. Methods to Modify Data Replace.mp4 | 43 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 Visualisation II - Seaborn.ipynb | 1.4 MB | ||
| 2 - Numpy arithmetical operations.ipynb | 4.9 KB | ||
| 2 - Pandas Dataframes.ipynb | 68.6 KB | ||
| 2. Data Structures Series - Part I.mp4 | 27.7 MB | ||
| 2. Data Structures Series - Part I.srt | 5.6 KB | ||
| 2. Introduction to Data Science.mp4 | 22.1 MB | ||
| 2. Introduction to Data Science.srt | 9.3 KB | ||
| 2. Jupyter Notebook Walk-through.mp4 | 26.2 MB | ||
| 2. Jupyter Notebook Walk-through.srt | 10.4 KB | ||
| 2. Matplotlib Creating Plots - Part I.mp4 | 78 MB | ||
| 2. Matplotlib Creating Plots - Part I.srt | 20.5 KB | ||
| 2. Numpy Arrays.mp4 | 89.8 MB | ||
| 2. Numpy Arrays.srt | 19.7 KB | ||
| 2. Seaborn Notebook Overview.mp4 | 24.5 MB | ||
| 2. Seaborn Notebook Overview.srt | 2.9 KB | ||
| 2. Strings.mp4 | 59.5 MB | ||
| 2. Strings.srt | 22.7 KB | ||
| 2.2 Jupyter website.html | 102.4 B | ||
| 20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 | 88.4 MB | ||
| 20. Exercises III Pandas Exercises Overview (using Netflix data).srt | 12 KB | ||
| 21. Solutions III Pandas Solutions.mp4 | 220.3 MB | ||
| 21. Solutions III Pandas Solutions.srt | 34.7 KB | ||
| 3 - Numpy array indexing and selection.ipynb | 13.3 KB | ||
| 3 - Pandas Indexing and Selection.ipynb | 24.1 KB | ||
| 3. Data Structures Series - Part II.mp4 | 95.3 MB | ||
| 3. Data Structures Series - Part II.srt | 23.4 KB | ||
| 3. Format Print.mp4 | 47.3 MB | ||
| 3. Format Print.srt | 11.8 KB | ||
| 3. Lecture Materials - All the Jupyter Notebooks.html | 307.2 B | ||
| 3. Matplotlib Creating Plots - Part II.mp4 | 93.9 MB | ||
| 3. Matplotlib Creating Plots - Part II.srt | 23.5 KB | ||
| 3. Numpy Arithmetical Operations.mp4 | 24.4 MB | ||
| 3. Numpy Arithmetical Operations.srt | 5.5 KB | ||
| 3. Seaborn Distribution Plots.mp4 | 66.6 MB | ||
| 3. Seaborn Distribution Plots.srt | 19.9 KB | ||
| 4 - Numpy built-in functions.ipynb | 12.9 KB | ||
| 4 - Pandas reindexing.ipynb | 24.9 KB | ||
| 4. Data Structures DataFrames - Part I.mp4 | 86 MB | ||
| 4. Data Structures DataFrames - Part I.srt | 16.5 KB | ||
| 4. Lists.mp4 | 24.5 MB | ||
| 4. Lists.srt | 8.4 KB | ||
| 4. Matplotlib Some Plot Types.mp4 | 69.4 MB | ||
| 4. Matplotlib Some Plot Types.srt | 14.6 KB | ||
| 4. Numpy Selection and Indexing - Part I.mp4 | 30.7 MB | ||
| 4. Numpy Selection and Indexing - Part I.srt | 9.4 KB | ||
| 4. Seaborn Categorical Plots - Part I.mp4 | 34.1 MB | ||
| 4. Seaborn Categorical Plots - Part I.srt | 13.6 KB | ||
| 5 - Pandas column, row elimination (drop) .ipynb | 19.3 KB | ||
| 5. Data Structures DataFrames - Part II.mp4 | 37.7 MB | ||
| 5. Data Structures DataFrames - Part II.srt | 9.5 KB | ||
| 5. Numpy Selection and Indexing - Part II.mp4 | 51.6 MB | ||
| 5. Numpy Selection and Indexing - Part II.srt | 14.3 KB | ||
| 5. Seaborn Categorical Plots - Part II.mp4 | 49.9 MB | ||
| 5. Seaborn Categorical Plots - Part II.srt | 15.4 KB | ||
| 5. Tuples.mp4 | 18.5 MB | ||
| 5. Tuples.srt | 4.8 KB | ||
| 6 - Pandas Sort.ipynb | 12.3 KB | ||
| 6. Dictionaries.mp4 | 38.8 MB | ||
| 6. Dictionaries.srt | 11.7 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 | ||
| 6. Numpy Some Built-in Functions.mp4 | 77.2 MB | ||
| 6. Numpy Some Built-in Functions.srt | 18.3 KB | ||
| 6. Seaborn Matrix Plots.mp4 | 47.3 MB | ||
| 6. Seaborn Matrix Plots.srt | 10.4 KB | ||
| 7 - Pandas Statistics.ipynb | 102.1 KB | ||
| 7. Exercises II Numpy Exercises Overview.mp4 | 33.5 MB | ||
| 7. Exercises II Numpy Exercises Overview.srt | 6.2 KB | ||
| 7. If Conditions.mp4 | 38.8 MB | ||
| 7. If Conditions.srt | 12.7 KB | ||
| 7. Methods to Modify Data Reindex - Part II.mp4 | 83 MB | ||
| 7. Methods to Modify Data Reindex - Part II.srt | 17.8 KB | ||
| 7. Seaborn Grid Plots.mp4 | 68.1 MB | ||
| 7. Seaborn Grid Plots.srt | 17.7 KB | ||
| 8 - Pandas missing values.ipynb | 22.9 KB | ||
| 8. Methods to Modify Data Drop.mp4 | 48.7 MB | ||
| 8. Methods to Modify Data Drop.srt | 14.1 KB | ||
| 8. Seaborn Regression and Grid Plots - lmplot.mp4 | 33.3 MB | ||
| 8. Seaborn Regression and Grid Plots - lmplot.srt | 9.4 KB | ||
| 8. Solutions II Numpy Solutions.mp4 | 68.6 MB | ||
| 8. Solutions II Numpy Solutions.srt | 15.3 KB | ||
| 8. While and For Loops.mp4 | 58.4 MB | ||
| 8. While and For Loops.srt | 30.5 KB | ||
| 9 - Pandas Multi-index,Hierarchy.ipynb | 32.6 KB | ||
| 9. Functions - Part I.mp4 | 67.4 MB | ||
| 9. Functions - Part I.srt | 22.8 KB | ||
| 9. Methods to Modify Data Sort.mp4 | 42.7 MB | ||
| 9. Methods to Modify Data Sort.srt | 15.5 KB | ||
| 9. Seaborn Customizing Plots.mp4 | 63.7 MB | ||
| 9. Seaborn Customizing Plots.srt | 13.6 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Data Visualization - exercises - solutions.ipynb | 358.8 KB | ||
| Data Visualization - exercises.ipynb | 356.5 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| MyBlogs.pdf | 171.6 KB | ||
| Numpy exercises - solutions.ipynb | 9.9 KB | ||
| Numpy exercises.ipynb | 8.5 KB | ||
| Pandas exercises - solutions.ipynb | 185.3 KB | ||
| Pandas exercises.ipynb | 171.7 KB | ||
| Python Exercises - solutions.ipynb | 9.6 KB | ||
| Python Exercises.ipynb | 8.6 KB | ||
| data_car.data | 29.6 KB | ||
| data_car_cross.csv | 24.5 KB | ||
| data_groupby.csv | 307.2 B | ||
| data_nba.csv | 716.8 B | ||
| data_netflix.csv | 2.3 MB | ||
| data_pivot.csv | 307.2 B | ||
| data_restaurant.csv | 9.6 KB | ||
| data_student.csv | 19.8 KB | ||
| ▲ 180 total files | |||
Master Data Science with Python in 10 Hours | 2021
https://DevCourseWeb.com
Last Update: 1/2021
Duration: 10h 41m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.24 GB
Genre: eLearning | Language: English
Learn Python, its libraries for Data Science (Pandas,Matplotlib,Seaborn) and data pre-processing for Machine Learning!
What you'll learn:
Importance of Data Science and It's applications
Python - data types, functions, if conditions, loops and functions
Numpy library - a faster alternative to store data!
Pandas library - import, clean and modify large data sets
Matplotlib library - visualize data
Seaborn library- create impressive statistical plots
Communicate conclusions from data effectively using plots
and many more!
Requirements
A computer with internet connection
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