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[FreeCourseSite.com] Udemy - Statistics for Data Analysis Using Python

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FreeCourseSite com Udemy - Statistics for Data Analysis Using Python

文件列表
  1. 1. Introduction/1. Installing Anaconda.mp459.61MB
  2. 1. Introduction/11. Working with a List - Part 2.mp434.78MB
  3. 1. Introduction/14. Working with a Dictionary.mp442.92MB
  4. 1. Introduction/15. Working with a Tuple.mp425.55MB
  5. 1. Introduction/16. Working with a Set.mp415.89MB
  6. 1. Introduction/17. Logical Operators.mp428.14MB
  7. 1. Introduction/2. Getting started with Jupyter Notebook.mp451.84MB
  8. 1. Introduction/4. Getting started with Python.mp469.41MB
  9. 1. Introduction/5. Variables and Data Types.mp438.37MB
  10. 1. Introduction/8. Working with a List - Part 1.mp483.42MB
  11. 2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.mp480MB
  12. 2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.mp462.52MB
  13. 2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.mp448.94MB
  14. 2. Descriptive Statistics/6. Descriptive Statistics Using Python.mp485.19MB
  15. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.mp473.15MB
  16. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.mp451.52MB
  17. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp488.9MB
  18. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.mp469.39MB
  19. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.mp487.57MB
  20. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.mp475MB
  21. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.mp457.65MB
  22. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.mp441.87MB
  23. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4127.19MB
  24. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.mp473.61MB
  25. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4108.05MB
  26. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.mp469.78MB
  27. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/35. [Theory] Poisson Distributions - An Example.mp460.45MB
  28. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.mp446.47MB
  29. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.mp476.45MB
  30. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp490.29MB
  31. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.mp482.99MB
  32. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.mp474.2MB
  33. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4102.24MB
  34. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.mp462.66MB
  35. 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.mp475.14MB
  36. 4. Pandas Package/10. DataFrame - Dealing with Rows.mp4154.78MB
  37. 4. Pandas Package/2. Pandas Series.mp486.99MB
  38. 4. Pandas Package/3. Pandas DataFrame.mp452.9MB
  39. 4. Pandas Package/6. Reading a .csv File (Importing External Data).mp479.3MB
  40. 4. Pandas Package/9. DataFrame - Dealing with Columns.mp462.52MB
  41. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4100.54MB
  42. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.mp459.2MB
  43. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.mp474.61MB
  44. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.mp454.07MB
  45. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.mp447MB
  46. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/6. Saving the plot as .png or .jpg.mp434.42MB
  47. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.mp476.79MB
  48. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.mp467.91MB
  49. 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.mp481.23MB
  50. 6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.mp475.33MB
  51. 6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp489.6MB
  52. 6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.mp484.68MB
  53. 6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4100.09MB
  54. 6. Inferential Statistics and Hypothesis Testing - Introduction/14. [Theory] The p-Value.mp451.89MB
  55. 6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4102.52MB
  56. 6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.mp460.31MB
  57. 6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.mp468.29MB
  58. 6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4127.85MB
  59. 6. Inferential Statistics and Hypothesis Testing - Introduction/6. [Theory] Basics of Hypothesis Testing.mp416.34MB
  60. 6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.mp438.26MB
  61. 6. Inferential Statistics and Hypothesis Testing - Introduction/8. [Theory] Null and Alternate Hypothesis.mp421.61MB
  62. 6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp496.4MB
  63. 7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.mp481.59MB
  64. 7. Hypothesis Testing Part 1 (One Sample Tests)/11. [Theory] One Variance Test - Introduction.mp427.86MB
  65. 7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.mp453.29MB
  66. 7. Hypothesis Testing Part 1 (One Sample Tests)/13. [Theory] One Variance Test - Example 2.mp462.73MB
  67. 7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.mp469.46MB
  68. 7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp496.48MB
  69. 7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.mp450.06MB
  70. 7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.mp483.39MB
  71. 7. Hypothesis Testing Part 1 (One Sample Tests)/5. One Sample Z Test - Examples.mp449.54MB
  72. 7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp490.56MB
  73. 7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.mp482.33MB
  74. 7. Hypothesis Testing Part 1 (One Sample Tests)/8. One Sample t Test Using Python.mp429.89MB
  75. 7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp493.44MB
  76. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.mp448.29MB
  77. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp489.01MB
  78. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/12. Paired t Test Using Python.mp434.29MB
  79. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.mp452.67MB
  80. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp446.59MB
  81. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.mp459.7MB
  82. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.mp454.42MB
  83. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp495.03MB
  84. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.mp469.02MB
  85. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.mp440.01MB
  86. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2. [Theory] Two Sample z Test - Introduction.mp432.21MB
  87. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/20. [Theory] Why ANOVA.mp448.18MB
  88. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.mp439.11MB
  89. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.mp436.83MB
  90. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.mp475.03MB
  91. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.mp454.84MB
  92. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.mp477.87MB
  93. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.mp470.76MB
  94. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.mp467.43MB
  95. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.mp457.63MB
  96. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/3. [Theory] Two Sample z Test - Example.mp440.46MB
  97. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp495.91MB
  98. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.mp466.82MB
  99. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.mp455.76MB
  100. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.mp459.12MB
  101. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp488.32MB
  102. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4104.27MB
  103. 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/9. [Theory] Two Sample t Test - Visual Interpretation.mp437.63MB
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