Видео курса

  • Урок 1. 00:02:13
    Introduction to Course
  • Урок 2. 00:03:33
    Course Overview Lecture (DON'T SKIP THIS!)
  • Урок 3. 00:08:49
    Course Installation Guide
  • Урок 4. 00:00:20
    Welcome to the Python Crash Course
  • Урок 5. 00:01:17
    Introduction to Crash Course
  • Урок 6. 00:19:01
    Python Crash Course Part One
  • Урок 7. 00:13:38
    Python Crash Course Part Two
  • Урок 8. 00:15:03
    Python Crash Course Part Three
  • Урок 9. 00:04:14
    Python Crash Course Exercises
  • Урок 10. 00:09:07
    Python Crash Course Exercise Solutions
  • Урок 11. 00:00:24
    Welcome to NumPy
  • Урок 12. 00:01:38
    Introduction to NumPy
  • Урок 13. 00:15:49
    NumPy Arrays
  • Урок 14. 00:04:20
    Numpy Operations
  • Урок 15. 00:10:55
    Numpy Indexing
  • Урок 16. 00:04:11
    NumPy Review Exercise
  • Урок 17. 00:09:53
    Numpy Exercise Solutions
  • Урок 18. 00:00:23
    Welcome to Pandas
  • Урок 19. 00:02:40
    Introduction to Pandas
  • Урок 20. 00:06:59
    Series
  • Урок 21. 00:15:35
    DataFrames
  • Урок 22. 00:17:00
    DataFrames Part Two
  • Урок 23. 00:09:03
    DataFrames Part Three
  • Урок 24. 00:06:15
    Missing Data
  • Урок 25. 00:06:38
    Group By with Pandas
  • Урок 26. 00:09:11
    Merging, Joining, and Concatenating DataFrames
  • Урок 27. 00:12:13
    Pandas Common Operations
  • Урок 28. 00:13:51
    Data Input and Output
  • Урок 29. 00:03:07
    General Pandas Review Exercises
  • Урок 30. 00:12:54
    General Pandas Exercise Solutions
  • Урок 31. 00:00:24
    Welcome to Visualization
  • Урок 32. 00:01:49
    Introduction to Visualization in Python
  • Урок 33. 00:18:46
    Matplotlib Basics - Part One
  • Урок 34. 00:15:32
    Matplotlib Basics - Part Two
  • Урок 35. 00:11:44
    Matplotlib Part Three
  • Урок 36. 00:03:43
    Matplotlib Exercise
  • Урок 37. 00:10:09
    Matplotlib Exercise Solutions
  • Урок 38. 00:12:08
    Pandas Visualization Overview
  • Урок 39. 00:17:33
    Pandas Time Series Visualization
  • Урок 40. 00:01:19
    Pandas Visualization Exercise Overview
  • Урок 41. 00:08:52
    Pandas Visualization Exercise Solutions
  • Урок 42. 00:01:22
    Introduction to Data Sources
  • Урок 43. 00:04:38
    Pandas DataReader
  • Урок 44. 00:10:22
    Quandl
  • Урок 45. 00:00:14
    Welcome to Pandas for Time Series
  • Урок 46. 00:00:59
    Introduction to Time Series with Pandas
  • Урок 47. 00:09:40
    Datetime Index
  • Урок 48. 00:12:49
    Time Resampling
  • Урок 49. 00:05:59
    Time Shifts
  • Урок 50. 00:17:54
    Pandas Rolling and Expanding
  • Урок 51. 00:00:31
    Welcome to the Capstone Project!
  • Урок 52. 00:06:39
    Stock Market Analysis Project
  • Урок 53. 00:20:26
    Stock Market Analysis Project Solutions Part One
  • Урок 54. 00:09:37
    Python Stock Market Analysis Solutions - Part Two
  • Урок 55. 00:16:54
    Stock Market Analysis Project Solutions Part Three
  • Урок 56. 00:08:24
    Stock Market Analysis Project Solutions Part Four
  • Урок 57. 00:00:35
    Welcome to Time Series Analysis
  • Урок 58. 00:02:52
    Introduction to Time Series
  • Урок 59. 00:04:00
    Time Series Basics
  • Урок 60. 00:12:30
    Introduction to Statsmodels
  • Урок 61. 00:04:17
    ETS Theory
  • Урок 62. 00:02:50
    EWMA Theory
  • Урок 63. 00:14:25
    EWMA Code Along
  • Урок 64. 00:06:25
    ETS Code Along
  • Урок 65. 00:09:34
    ARIMA Theory
  • Урок 66. 00:06:21
    ACF and PACF
  • Урок 67. 00:11:43
    ARIMA with Statsmodels
  • Урок 68. 00:14:00
    ARIMA Code Part Two
  • Урок 69. 00:06:50
    ARIMA Code Part Three
  • Урок 70. 00:14:15
    ARIMA Code Part Four
  • Урок 71. 00:00:37
    Welcome to Finance Fundamentals
  • Урок 72. 00:00:50
    Introduction to Python Finance Fundamentals
  • Урок 73. 00:07:17
    Sharpe Ratio Slides
  • Урок 74. 00:15:32
    Portfolio Allocation Code Along Part One
  • Урок 75. 00:06:45
    Portfolio Allocation Code Along Part Two
  • Урок 76. 00:05:15
    Portfolio Optimization
  • Урок 77. 00:14:45
    Portfolio Optimization Code Along One
  • Урок 78. 00:07:47
    Portfolio Optimization Code Along Two
  • Урок 79. 00:16:33
    Portfolio Optimization Code Along Three
  • Урок 80. 00:01:08
    Key Financial Topics
  • Урок 81. 00:06:10
    Types of Funds
  • Урок 82. 00:14:36
    Order Books
  • Урок 83. 00:02:36
    Short Selling
  • Урок 84. 00:05:20
    CAPM - Capital Asset Pricing Model
  • Урок 85. 00:12:11
    CAPM Code Along
  • Урок 86. 00:03:17
    Stock Splits and Dividends
  • Урок 87. 00:02:01
    EMH
  • Урок 88. 00:00:25
    Welcome to the Quantopian Section
  • Урок 89. 00:09:28
    Introduction to Quantopian
  • Урок 90. 00:16:47
    Quantopian Research Basics
  • Урок 91. 00:16:18
    Quantopian Algorithms Basics Part One
  • Урок 92. 00:17:18
    Quantopian Algorithms Basics Part Two
  • Урок 93. 00:16:48
    First Trading Algorithm - Part One
  • Урок 94. 00:16:45
    First Trading Algorithm - Part Two
  • Урок 95. 00:04:51
    Trading Algorithm Exercise
  • Урок 96. 00:12:37
    Trading Algorithm Exercise Solutions Part One
  • Урок 97. 00:02:39
    Trading Algorithm Exercise Solutions Part Two
  • Урок 98. 00:17:00
    Quantopian Pipelines Factors
  • Урок 99. 00:05:59
    Quantopian Pipelines Filters
  • Урок 100. 00:09:19
    Quantopian Pipeline - Masking and Classifiers
  • Урок 101. 00:00:49
    Welcome to Trading Algorithms
  • Урок 102. 00:13:35
    Pipeline Trading Algorithm Example - Code Along - Part One
  • Урок 103. 00:10:28
    Pipeline Trading Algorithm - Code Along - Part Two
  • Урок 104. 00:19:29
    Pipeline Trading Algorithm Code along Part Three
  • Урок 105. 00:12:49
    Leverage
  • Урок 106. 00:14:19
    Hedging
  • Урок 107. 00:14:55
    Hedging- Part Two
  • Урок 108. 00:15:21
    Portfolio Analysis with PyFolio
  • Урок 109. 00:16:24
    Stock Sentiment Analysis Project
  • Урок 110. 00:09:03
    What are Futures?
  • Урок 111. 00:18:21
    Futures on Quantopian
  • Урок 112. 00:20:35
    Futures on Quantopian Part Two
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