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GetFreeCourses.Co-Udemy-Master Data Science with Python in 10 Hours 2021

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文件列表

  1. 5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.mp4 220MB
  2. 7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.mp4 164MB
  3. 5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.mp4 109MB
  4. 5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.mp4 95MB
  5. 6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.mp4 94MB
  6. 3. Python Basics/12. Solutions I - Python Solutions.mp4 90MB
  7. 4. A Faster Alternative Numpy/2. Numpy Arrays.mp4 90MB
  8. 5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).mp4 88MB
  9. 3. Python Basics/10. Functions - Part II.mp4 88MB
  10. 5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.mp4 86MB
  11. 5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.mp4 83MB
  12. 6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.mp4 78MB
  13. 4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.mp4 77MB
  14. 5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.mp4 73MB
  15. 5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.mp4 70MB
  16. 6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.mp4 69MB
  17. 4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.mp4 69MB
  18. 7. Visualization II - Seaborn/7. Seaborn Grid Plots.mp4 68MB
  19. 3. Python Basics/9. Functions - Part I.mp4 67MB
  20. 7. Visualization II - Seaborn/3. Seaborn Distribution Plots.mp4 67MB
  21. 7. Visualization II - Seaborn/9. Seaborn Customizing Plots.mp4 64MB
  22. 7. Visualization II - Seaborn/10. Exercises IV Seaborn Exercises Overview.mp4 63MB
  23. 3. Python Basics/2. Strings.mp4 59MB
  24. 5. Dealing with Large Data Sets Pandas/14. Combine DataFrames Merge.mp4 59MB
  25. 3. Python Basics/8. While and For Loops.mp4 58MB
  26. 5. Dealing with Large Data Sets Pandas/15. Combine DataFrames Concatenation and Join.mp4 52MB
  27. 4. A Faster Alternative Numpy/5. Numpy Selection and Indexing - Part II.mp4 52MB
  28. 5. Dealing with Large Data Sets Pandas/10. Some Statistical Methods.mp4 51MB
  29. 7. Visualization II - Seaborn/5. Seaborn Categorical Plots - Part II.mp4 50MB
  30. 3. Python Basics/1. Numbers and Basic Operations.mp4 49MB
  31. 5. Dealing with Large Data Sets Pandas/8. Methods to Modify Data Drop.mp4 49MB
  32. 7. Visualization II - Seaborn/6. Seaborn Matrix Plots.mp4 47MB
  33. 3. Python Basics/3. Format Print.mp4 47MB
  34. 5. Dealing with Large Data Sets Pandas/11. Methods Dealing with Missing Data.mp4 46MB
  35. 5. Dealing with Large Data Sets Pandas/16. Methods to Modify Data Replace.mp4 43MB
  36. 5. Dealing with Large Data Sets Pandas/9. Methods to Modify Data Sort.mp4 43MB
  37. 5. Dealing with Large Data Sets Pandas/19. Correlating Data Cross Tabulation.mp4 39MB
  38. 3. Python Basics/6. Dictionaries.mp4 39MB
  39. 3. Python Basics/7. If Conditions.mp4 39MB
  40. 3. Python Basics/11. Exercises I - Python Exercises Overview.mp4 38MB
  41. 5. Dealing with Large Data Sets Pandas/5. Data Structures DataFrames - Part II.mp4 38MB
  42. 5. Dealing with Large Data Sets Pandas/13. Methods Restructure Data - Pivot.mp4 36MB
  43. 4. A Faster Alternative Numpy/1. Numpy Library Introduction.mp4 35MB
  44. 7. Visualization II - Seaborn/4. Seaborn Categorical Plots - Part I.mp4 34MB
  45. 4. A Faster Alternative Numpy/7. Exercises II Numpy Exercises Overview.mp4 34MB
  46. 7. Visualization II - Seaborn/8. Seaborn Regression and Grid Plots - lmplot.mp4 33MB
  47. 4. A Faster Alternative Numpy/4. Numpy Selection and Indexing - Part I.mp4 31MB
  48. 5. Dealing with Large Data Sets Pandas/2. Data Structures Series - Part I.mp4 28MB
  49. 6. Visualization I - Matplotlib/1. Matplotlib Library Introduction.mp4 27MB
  50. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2. Jupyter Notebook Walk-through.mp4 26MB
  51. 3. Python Basics/4. Lists.mp4 25MB
  52. 7. Visualization II - Seaborn/2. Seaborn Notebook Overview.mp4 25MB
  53. 4. A Faster Alternative Numpy/3. Numpy Arithmetical Operations.mp4 24MB
  54. 1. Introduction/2. Introduction to Data Science.mp4 22MB
  55. 3. Python Basics/5. Tuples.mp4 18MB
  56. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1. Anaconda Installation.mp4 16MB
  57. 5. Dealing with Large Data Sets Pandas/6. Methods to Modify Data Reindex - Part I.mp4 12MB
  58. 5. Dealing with Large Data Sets Pandas/1. Pandas Library Introduction.mp4 11MB
  59. 7. Visualization II - Seaborn/1. Seaborn Library Introduction.mp4 10MB
  60. 1. Introduction/1. Welcome!.mp4 5MB
  61. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2.1 Data_Science_with_Python.zip 3MB
  62. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/3.1 Data_Science_with_Python.zip 3MB
  63. 5. Dealing with Large Data Sets Pandas/21. Solutions III Pandas Solutions.srt 35KB
  64. 7. Visualization II - Seaborn/11. Solutions IV Seaborn Solutions.srt 33KB
  65. 3. Python Basics/8. While and For Loops.srt 30KB
  66. 6. Visualization I - Matplotlib/3. Matplotlib Creating Plots - Part II.srt 24KB
  67. 5. Dealing with Large Data Sets Pandas/3. Data Structures Series - Part II.srt 23KB
  68. 3. Python Basics/9. Functions - Part I.srt 23KB
  69. 3. Python Basics/2. Strings.srt 23KB
  70. 5. Dealing with Large Data Sets Pandas/12. Hierarchy - Multi Index.srt 22KB
  71. 3. Python Basics/10. Functions - Part II.srt 22KB
  72. 3. Python Basics/12. Solutions I - Python Solutions.srt 22KB
  73. 6. Visualization I - Matplotlib/2. Matplotlib Creating Plots - Part I.srt 20KB
  74. 7. Visualization II - Seaborn/3. Seaborn Distribution Plots.srt 20KB
  75. 4. A Faster Alternative Numpy/2. Numpy Arrays.srt 20KB
  76. 5. Dealing with Large Data Sets Pandas/18. Some Useful Built-in Functions.srt 19KB
  77. 5. Dealing with Large Data Sets Pandas/14. Combine DataFrames Merge.srt 19KB
  78. 4. A Faster Alternative Numpy/6. Numpy Some Built-in Functions.srt 18KB
  79. 5. Dealing with Large Data Sets Pandas/7. Methods to Modify Data Reindex - Part II.srt 18KB
  80. 7. Visualization II - Seaborn/7. Seaborn Grid Plots.srt 18KB
  81. 5. Dealing with Large Data Sets Pandas/4. Data Structures DataFrames - Part I.srt 17KB
  82. 5. Dealing with Large Data Sets Pandas/9. Methods to Modify Data Sort.srt 15KB
  83. 5. Dealing with Large Data Sets Pandas/17. Group Data Groupby.srt 15KB
  84. 7. Visualization II - Seaborn/5. Seaborn Categorical Plots - Part II.srt 15KB
  85. 5. Dealing with Large Data Sets Pandas/16. Methods to Modify Data Replace.srt 15KB
  86. 4. A Faster Alternative Numpy/8. Solutions II Numpy Solutions.srt 15KB
  87. 3. Python Basics/1. Numbers and Basic Operations.srt 15KB
  88. 6. Visualization I - Matplotlib/4. Matplotlib Some Plot Types.srt 15KB
  89. 4. A Faster Alternative Numpy/5. Numpy Selection and Indexing - Part II.srt 14KB
  90. 5. Dealing with Large Data Sets Pandas/8. Methods to Modify Data Drop.srt 14KB
  91. 5. Dealing with Large Data Sets Pandas/15. Combine DataFrames Concatenation and Join.srt 14KB
  92. 5. Dealing with Large Data Sets Pandas/11. Methods Dealing with Missing Data.srt 14KB
  93. 7. Visualization II - Seaborn/4. Seaborn Categorical Plots - Part I.srt 14KB
  94. 7. Visualization II - Seaborn/9. Seaborn Customizing Plots.srt 14KB
  95. 3. Python Basics/7. If Conditions.srt 13KB
  96. 7. Visualization II - Seaborn/10. Exercises IV Seaborn Exercises Overview.srt 12KB
  97. 5. Dealing with Large Data Sets Pandas/20. Exercises III Pandas Exercises Overview (using Netflix data).srt 12KB
  98. 3. Python Basics/3. Format Print.srt 12KB
  99. 3. Python Basics/6. Dictionaries.srt 12KB
  100. 5. Dealing with Large Data Sets Pandas/10. Some Statistical Methods.srt 11KB
  101. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2. Jupyter Notebook Walk-through.srt 10KB
  102. 7. Visualization II - Seaborn/6. Seaborn Matrix Plots.srt 10KB
  103. 5. Dealing with Large Data Sets Pandas/5. Data Structures DataFrames - Part II.srt 10KB
  104. 4. A Faster Alternative Numpy/4. Numpy Selection and Indexing - Part I.srt 9KB
  105. 5. Dealing with Large Data Sets Pandas/13. Methods Restructure Data - Pivot.srt 9KB
  106. 7. Visualization II - Seaborn/8. Seaborn Regression and Grid Plots - lmplot.srt 9KB
  107. 1. Introduction/2. Introduction to Data Science.srt 9KB
  108. 5. Dealing with Large Data Sets Pandas/19. Correlating Data Cross Tabulation.srt 9KB
  109. 3. Python Basics/11. Exercises I - Python Exercises Overview.srt 8KB
  110. 3. Python Basics/4. Lists.srt 8KB
  111. 4. A Faster Alternative Numpy/7. Exercises II Numpy Exercises Overview.srt 6KB
  112. 5. Dealing with Large Data Sets Pandas/2. Data Structures Series - Part I.srt 6KB
  113. 6. Visualization I - Matplotlib/1. Matplotlib Library Introduction.srt 6KB
  114. 5. Dealing with Large Data Sets Pandas/6. Methods to Modify Data Reindex - Part I.srt 6KB
  115. 4. A Faster Alternative Numpy/3. Numpy Arithmetical Operations.srt 6KB
  116. 4. A Faster Alternative Numpy/1. Numpy Library Introduction.srt 6KB
  117. 3. Python Basics/5. Tuples.srt 5KB
  118. 5. Dealing with Large Data Sets Pandas/1. Pandas Library Introduction.srt 4KB
  119. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1. Anaconda Installation.srt 3KB
  120. 7. Visualization II - Seaborn/1. Seaborn Library Introduction.srt 3KB
  121. 7. Visualization II - Seaborn/2. Seaborn Notebook Overview.srt 3KB
  122. 1. Introduction/1. Welcome!.srt 2KB
  123. 7. Visualization II - Seaborn/12. Congratulations!.html 309B
  124. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/3. Lecture Materials - All the Jupyter Notebooks.html 273B
  125. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/How you can help GetFreeCourses.Co.txt 182B
  126. 5. Dealing with Large Data Sets Pandas/How you can help GetFreeCourses.Co.txt 182B
  127. How you can help GetFreeCourses.Co.txt 182B
  128. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/GetFreeCourses.Co.url 116B
  129. 5. Dealing with Large Data Sets Pandas/GetFreeCourses.Co.url 116B
  130. Download Paid Udemy Courses For Free.url 116B
  131. GetFreeCourses.Co.url 116B
  132. 7. Visualization II - Seaborn/1.1 Seaborn website for documentation and tutorials.html 88B
  133. 3. Python Basics/1.1 A lot of python documentation!.html 87B
  134. 5. Dealing with Large Data Sets Pandas/1.1 Pandas website for documentation and tutorials.html 87B
  135. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/1.1 Anaconda Website.html 86B
  136. 6. Visualization I - Matplotlib/1.1 Matplotlib website for documentation and tutorials.html 84B
  137. 2. Anaconda Installation Guide and Jupyter Notebook Walk-through/2.2 Jupyter website.html 81B
  138. 4. A Faster Alternative Numpy/1.1 Numpy website for documentation and tutorials.html 79B