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[GigaCourse.com] Udemy - Python for Data Science and Data Analysis Masterclass 2020

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视频 2021-1-10 14:23 2024-12-21 18:18 194 2.12 GB 47
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文件列表
  1. 1. Welcome to the Course !/2. Introduction to Google Colab.mp438.92MB
  2. 2. Python Crash Course Part 1 Data Types/1. Data Types Introduction.mp422.77MB
  3. 2. Python Crash Course Part 1 Data Types/10. Sets.mp423.78MB
  4. 2. Python Crash Course Part 1 Data Types/11. Booleans.mp417.34MB
  5. 2. Python Crash Course Part 1 Data Types/2. Numbers.mp429.74MB
  6. 2. Python Crash Course Part 1 Data Types/3. Strings Part 1 - Basics.mp441.47MB
  7. 2. Python Crash Course Part 1 Data Types/4. Strings Part 2 - Indexing and Slicing.mp440.74MB
  8. 2. Python Crash Course Part 1 Data Types/5. Strings Part 3 - Properties and Methods.mp426.29MB
  9. 2. Python Crash Course Part 1 Data Types/6. Strings Part 4 - String Formatting.mp444.97MB
  10. 2. Python Crash Course Part 1 Data Types/7. Lists.mp459.42MB
  11. 2. Python Crash Course Part 1 Data Types/8. Dictionaries.mp456.73MB
  12. 2. Python Crash Course Part 1 Data Types/9. Tuples.mp437.39MB
  13. 3. Python Crash Course Part 2 Python Statements/1. If, Elif and Else.mp432.62MB
  14. 3. Python Crash Course Part 2 Python Statements/2. For loop.mp489.62MB
  15. 3. Python Crash Course Part 2 Python Statements/3. While Loop.mp457.97MB
  16. 3. Python Crash Course Part 2 Python Statements/4. Useful functions in Python.mp477.45MB
  17. 4. Python Crash Course Part 3 Functions/1. Functions Part 1.mp455.4MB
  18. 4. Python Crash Course Part 3 Functions/2. Functions Part 2.mp447.81MB
  19. 4. Python Crash Course Part 3 Functions/3. args and kwargs.mp454.62MB
  20. 4. Python Crash Course Part 3 Functions/4. Map, Filter and Lambda Expression.mp458.81MB
  21. 5. Python Crash Course Part 4 Object Oriented Programming (OOP)/1. Introduction of Object Oriented Programming.mp429.99MB
  22. 5. Python Crash Course Part 4 Object Oriented Programming (OOP)/2. Class and Attributes.mp437.82MB
  23. 5. Python Crash Course Part 4 Object Oriented Programming (OOP)/3. Methods.mp458.92MB
  24. 5. Python Crash Course Part 4 Object Oriented Programming (OOP)/4. Inheritance.mp443.18MB
  25. 6. Data Analysis with Numpy/1. Introduction to NumPy.mp416.26MB
  26. 6. Data Analysis with Numpy/2. Numpy Arrays Part 1.mp416.76MB
  27. 6. Data Analysis with Numpy/3. Numpy Arrays Part 2.mp453.96MB
  28. 6. Data Analysis with Numpy/4. Numpy Arrays Part 3.mp427.26MB
  29. 6. Data Analysis with Numpy/5. Numpy Indexing and Selection Part 1.mp445.15MB
  30. 6. Data Analysis with Numpy/6. Numpy Indexing and Selection Part 2.mp426.61MB
  31. 6. Data Analysis with Numpy/7. Numpy Operations.mp429.26MB
  32. 7. Data Analysis with pandas/1. Pandas Introduction.mp412.55MB
  33. 7. Data Analysis with pandas/10. Reading and Writing Files in Pandas.mp446.47MB
  34. 7. Data Analysis with pandas/2. Pandas Series.mp470.01MB
  35. 7. Data Analysis with pandas/3. DataFrames Part 1.mp478.01MB
  36. 7. Data Analysis with pandas/4. DataFrames Part 2.mp455.29MB
  37. 7. Data Analysis with pandas/5. DataFrames Part 3.mp456.43MB
  38. 7. Data Analysis with pandas/6. Missing Data.mp435.29MB
  39. 7. Data Analysis with pandas/7. Groupby Method.mp449.12MB
  40. 7. Data Analysis with pandas/8. Merging, Joining and Concatenating DataFrames.mp457.27MB
  41. 7. Data Analysis with pandas/9. Pandas Operations.mp438.82MB
  42. 8. Data Visualization with matplotlib/1. Matplotlib Part 1 - Functional Method.mp490.65MB
  43. 8. Data Visualization with matplotlib/2. Matplotlib Part 1 - Object Oriented Method.mp444.02MB
  44. 8. Data Visualization with matplotlib/3. Matplotlib Part 2 - Subplots Method.mp437.78MB
  45. 8. Data Visualization with matplotlib/4. Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp453.95MB
  46. 8. Data Visualization with matplotlib/5. Matplotlib Part 3.mp450.1MB
  47. 8. Data Visualization with matplotlib/6. Matplotlib Part 4.mp491.2MB
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