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Easy Python Hacks for Mastering Data Manipulation Techniques FreeCourseWeb

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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 1. Understanding data manipulation process.mp4 54.6 MB
  3. 1.1 Data Manipulation with Python + ChatGPT.ipynb 712.9 KB
  4. Extra data.xlsx 22.3 KB
  5. Practice data.csv 14.6 KB
  6. Practice data.xlsx 22.1 KB
  7. additional_data.xlsx 21.4 KB
  8. sales data.xlsx 84.4 KB
  9. _Extra data.xlsx 344 bytes
  10. _Practice data.csv 344 bytes
  11. _Practice data.xlsx 344 bytes
  12. _additional_data.xlsx 344 bytes
  13. _sales data.xlsx 344 bytes
  14. 1. Python for Data Analysis (An Overview).mp4 31.9 MB
  15. 2. Installation and activation of Python for windows.html 131 bytes
  16. 2.1 Windows.pdf 929.7 KB
  17. 3. Installation and activation of Python for mac.html 127 bytes
  18. 3.1 Mac.pdf 1.5 MB
  19. 1. Setting up ChatGPT.html 111 bytes
  20. 1.1 Instructions of setting up ChatGPT.pdf 409.1 KB
  21. 2. Effortless python programming with ChatGPT (An Overview).mp4 26.0 MB
  22. 1. Loading dataset in Jupyter notebook environment.mp4 31.7 MB
  23. 2. Identifying and assigning correct data types.mp4 103.0 MB
  24. 3. Defining and imputing techniques of missing values.mp4 153.6 MB
  25. 4. Defining and removing abnormal values or harmful outliers.mp4 78.4 MB
  26. 5. Defining and removing duplicates values from dataset.mp4 24.8 MB
  27. 1. Feature encoding assigning numeric values to categorical variables.mp4 121.1 MB
  28. 2. Feature binning converting numeric variables into categorical variables.mp4 82.8 MB
  29. 3. Creating dummy variables of categorical variables.mp4 61.4 MB
  30. 4. Sorting and filtering dataset following conditions.mp4 126.0 MB
  31. 5. Merging two datasets horizontally or adding extra variables.mp4 90.6 MB
  32. 6. Concatenating two datasets vertically or adding extra data.mp4 41.7 MB
  33. 7. Various methods of transforming skewed data into normally distributed data.mp4 214.1 MB
  34. 8. Extracting days, months and year from date variable.mp4 76.5 MB
  35. 1. Categorical variables visualizations Bar chart, Pie chart and Line plot.mp4 277.0 MB
  36. 2. Numeric variables visualizations Histogram, Boxplot and Scatterplot.mp4 139.0 MB
  37. Bonus Resources.txt 386 bytes

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