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1. Welcome!.mp4
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1. Welcome!.srt
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10 - Pandas Pivoting.ipynb
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10. Exercises IV Seaborn Exercises Overview.mp4
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11. Exercises I - Python Exercises Overview.mp4
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12. Congratulations!.html
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12. Hierarchy - Multi Index.mp4
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13. Methods Restructure Data - Pivot.mp4
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14. Combine DataFrames Merge.mp4
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15 - Pandas built-in functions.ipynb
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15. Combine DataFrames Concatenation and Join.mp4
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16 - Pandas Cross Tabulation.ipynb
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16. Methods to Modify Data Replace.mp4
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17. Group Data Groupby.mp4
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18. Some Useful Built-in Functions.mp4
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19. Correlating Data Cross Tabulation.mp4
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2. Introduction to Data Science.mp4
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2. Jupyter Notebook Walk-through.mp4
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20. Exercises III Pandas Exercises Overview (using Netflix data).mp4
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3. Matplotlib Creating Plots - Part II.mp4
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4. Data Structures DataFrames - Part I.mp4
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4. Lists.mp4
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7. Exercises II Numpy Exercises Overview.mp4
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7. If Conditions.mp4
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7. Methods to Modify Data Reindex - Part II.mp4
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8 - Pandas missing values.ipynb
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8. Methods to Modify Data Drop.mp4
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8. Seaborn Regression and Grid Plots - lmplot.mp4
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8. Solutions II Numpy Solutions.mp4
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9 - Pandas Multi-index,Hierarchy.ipynb
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9. Functions - Part I.mp4
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9. Methods to Modify Data Sort.mp4
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9. Seaborn Customizing Plots.mp4
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Bonus Resources.txt
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Data Visualization - exercises - solutions.ipynb
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Get Bonus Downloads Here.url
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MyBlogs.pdf
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Numpy exercises - solutions.ipynb
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Numpy exercises.ipynb
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Pandas exercises - solutions.ipynb
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Python Exercises - solutions.ipynb
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data_car.data
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data_car_cross.csv
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data_groupby.csv
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data_nba.csv
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data_netflix.csv
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data_pivot.csv
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data_restaurant.csv
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data_student.csv
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