• Урок 1. 00:08:56
    Installing Python (Windows & MAC)
  • Урок 2. 00:02:07
    Updates on Udemy Reviews
  • Урок 3. 00:08:46
    Types of variables
  • Урок 4. 00:09:00
    Using Variables
  • Урок 5. 00:06:04
    Boolean Variables and Operators
  • Урок 6. 00:09:57
    The "While" Loop
  • Урок 7. 00:07:58
    The "For" Loop
  • Урок 8. 00:12:31
    The "If" statement
  • Урок 9. 00:02:42
    Code indentation in Python
  • Урок 10. 00:03:09
    Section recap
  • Урок 11. 00:12:53
    HOMEWORK: Law of Large Numbers
  • Урок 12. 00:03:16
    What is a List?
  • Урок 13. 00:08:44
    Let's create some lists
  • Урок 14. 00:06:30
    Using the [] brackets
  • Урок 15. 00:09:28
    Slicing
  • Урок 16. 00:06:18
    Tuples in Python
  • Урок 17. 00:05:38
    Functions in Python
  • Урок 18. 00:13:40
    Packages in Python
  • Урок 19. 00:07:09
    Numpy and Arrays in Python
  • Урок 20. 00:04:33
    Slicing Arrays
  • Урок 21. 00:03:07
    Section Recap
  • Урок 22. 00:10:12
    HOMEWORK: Financial Statement Analysis
  • Урок 23. 00:08:17
    Project Brief: Basketball Trends
  • Урок 24. 00:03:32
    Matrices
  • Урок 25. 00:16:51
    Building Your First Matrix
  • Урок 26. 00:14:21
    Dictionaries in Python
  • Урок 27. 00:08:35
    Matrix Operations
  • Урок 28. 00:11:05
    Your first visualization
  • Урок 29. 00:09:38
    Expanded Visualization
  • Урок 30. 00:11:10
    Creating Your First Function
  • Урок 31. 00:11:16
    Advanced Function Design
  • Урок 32. 00:11:18
    Basketball Insights
  • Урок 33. 00:04:08
    Section Recap
  • Урок 34. 00:08:44
    HOMEWORK: Basketball free throws
  • Урок 35. 00:08:27
    Importing data into Python
  • Урок 36. 00:10:52
    Exploring your dataset
  • Урок 37. 00:02:57
    Renaming Columns of a Dataframe
  • Урок 38. 00:16:32
    Subsetting dataframes in Pandas
  • Урок 39. 00:09:50
    Basic operations with a Data Frame
  • Урок 40. 00:18:53
    Filtering a Data Frame
  • Урок 41. 00:09:02
    Using .at() and .iat() (advanced tutorial)
  • Урок 42. 00:10:48
    Introduction to Seaborn
  • Урок 43. 00:10:06
    Visualizing With Seaborn: Part 1
  • Урок 44. 00:10:43
    Keyword Arguments in Python (advanced tutorial)
  • Урок 45. 00:04:32
    Section Recap
  • Урок 46. 00:06:58
    HOMEWORK: World Trends
  • Урок 47. 00:10:30
    What is a Category data type?
  • Урок 48. 00:07:39
    Working with JointPlots
  • Урок 49. 00:07:53
    Histograms
  • Урок 50. 00:18:30
    Stacked histograms in Python
  • Урок 51. 00:08:00
    Creating a KDE Plot
  • Урок 52. 00:14:06
    Working with Subplots()
  • Урок 53. 00:08:56
    Violinplots vs Boxplots
  • Урок 54. 00:12:29
    Creating a Facet Grid
  • Урок 55. 00:07:56
    Coordinates and Diagonals
  • Урок 56. 00:16:32
    BONUS: Building Dashboards in Python
  • Урок 57. 00:15:47
    BONUS: Styling Tips
  • Урок 58. 00:14:49
    BONUS: Finishing Touches
  • Урок 59. 00:05:39
    Section Recap
  • Урок 60. 00:07:58
    HOMEWORK: Movie Domestic % Gross
  • Урок 61. 00:08:58
    Homework Solution Section 2: Law Of Large Numbers
  • Урок 62. 00:10:31
    Homework Solution Section 3: Financial Statement Analysis (Part 1)
  • Урок 63. 00:13:40
    Homework Solution Section 3: Financial Statement Analysis (Part 2)
  • Урок 64. 00:17:24
    Homework Solution Section 4: Basketball Free Throws
  • Урок 65. 00:15:46
    Homework Solution Section 5: World Trends (Part 1)
  • Урок 66. 00:14:36
    Homework Solution Section 5: World Trends (Part 2)
  • Урок 67. 00:16:47
    Homework Solution Section 6: Movie Domestic % Gross (Part 1)
  • Урок 68. 00:08:20
    Homework Solution Section 6: Movie Domestic % Gross (Part 2)
  • Урок 69. 00:02:41
    THANK YOU bonus video
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