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

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

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收录时间：2022-01-10
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文件列表

  • 4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.mp4 91.8 MB
  • 4. Pandas Package/2. Pandas Series.mp4 91.2 MB
  • 2. Descriptive Statistics/6. Descriptive Statistics Using Python.mp4 89.3 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.mp4 88.8 MB
  • 1. Introduction/8. Working with a List - Part 1.mp4 87.5 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.mp4 87.4 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.mp4 87.0 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.mp4 86.3 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.mp4 85.6 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.mp4 85.2 MB
  • 2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.mp4 83.9 MB
  • 4. Pandas Package/6. Reading a .csv File (Importing External Data).mp4 83.2 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.mp4 81.7 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.mp4 80.5 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.mp4 80.2 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.mp4 79.0 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.mp4 78.8 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.mp4 78.7 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.mp4 78.6 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.mp4 78.2 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.mp4 77.8 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.mp4 77.2 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.mp4 76.7 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.mp4 74.2 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.mp4 73.2 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.mp4 72.8 MB
  • 1. Introduction/4. Getting started with Python.mp4 72.8 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.mp4 72.8 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.mp4 72.4 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.mp4 71.6 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.mp4 71.2 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.mp4 70.7 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.mp4 70.1 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/13. [Theory] One Variance Test - Example 2.mp4 65.8 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.mp4 65.7 MB
  • 4. Pandas Package/9. DataFrame - Dealing with Columns.mp4 65.6 MB
  • 2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.mp4 65.6 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/35. [Theory] Poisson Distributions - An Example.mp4 63.4 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.mp4 63.2 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4 62.6 MB
  • 1. Introduction/1. Installing Anaconda.mp4 62.5 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.mp4 62.1 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.mp4 62.0 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.mp4 60.5 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.mp4 60.4 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.mp4 58.5 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.mp4 57.5 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.mp4 57.1 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.mp4 56.7 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.mp4 55.9 MB
  • 4. Pandas Package/3. Pandas DataFrame.mp4 55.5 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.mp4 55.2 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/14. [Theory] The p-Value.mp4 54.4 MB
  • 1. Introduction/2. Getting started with Jupyter Notebook.mp4 54.4 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.mp4 54.0 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.mp4 52.5 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/5. One Sample Z Test - Examples.mp4 51.9 MB
  • 2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.mp4 51.3 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.mp4 50.6 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/20. [Theory] Why ANOVA.mp4 50.5 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.mp4 49.3 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4 48.9 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.mp4 48.7 MB
  • 1. Introduction/14. Working with a Dictionary.mp4 45.0 MB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.mp4 43.9 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/3. [Theory] Two Sample z Test - Example.mp4 42.4 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.mp4 42.0 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.mp4 41.0 MB
  • 1. Introduction/5. Variables and Data Types.mp4 40.2 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.mp4 40.1 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/9. [Theory] Two Sample t Test - Visual Interpretation.mp4 39.5 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.mp4 38.6 MB
  • 1. Introduction/11. Working with a List - Part 2.mp4 36.5 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/6. Saving the plot as .png or .jpg.mp4 36.1 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/12. Paired t Test Using Python.mp4 36.0 MB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2. [Theory] Two Sample z Test - Introduction.mp4 33.8 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/8. One Sample t Test Using Python.mp4 31.3 MB
  • 1. Introduction/17. Logical Operators.mp4 29.5 MB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/11. [Theory] One Variance Test - Introduction.mp4 29.2 MB
  • 1. Introduction/15. Working with a Tuple.mp4 26.8 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/8. [Theory] Null and Alternate Hypothesis.mp4 22.7 MB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/6. [Theory] Basics of Hypothesis Testing.mp4 17.1 MB
  • 1. Introduction/16. Working with a Set.mp4 16.7 MB
  • 1. Introduction/3.2 Python Statistics Slides.pdf 3.0 MB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/1.1 Section 5.ipynb 891.3 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/1.1 Section 3.ipynb 203.6 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2.1 Section 3.ipynb 203.3 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/1.2 Section 8.ipynb 127.0 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2.1 Section 8.ipynb 127.0 kB
  • 4. Pandas Package/1.2 Section 4.ipynb 107.2 kB
  • 4. Pandas Package/2.1 Section 4.ipynb 107.2 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/1.1 Section 6.ipynb 73.0 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/2.1 Section 6.ipynb 73.0 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/1.3 Section 7.ipynb 67.9 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/2.1 Section 7.ipynb 67.9 kB
  • 1. Introduction/3.1 Section 1.ipynb 36.9 kB
  • 4. Pandas Package/10. DataFrame - Dealing with Rows.srt 35.6 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.srt 23.5 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.srt 23.4 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.srt 23.0 kB
  • 1. Introduction/8. Working with a List - Part 1.srt 21.6 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.srt 21.3 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.srt 19.8 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.srt 19.4 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.srt 19.3 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.srt 19.2 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.srt 18.9 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.srt 18.3 kB
  • 1. Introduction/4. Getting started with Python.srt 18.3 kB
  • 2. Descriptive Statistics/6. Descriptive Statistics Using Python.srt 18.2 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.srt 17.3 kB
  • 4. Pandas Package/6. Reading a .csv File (Importing External Data).srt 17.1 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.srt 16.7 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.srt 16.2 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.srt 16.2 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.srt 16.1 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.srt 16.1 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.srt 16.0 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.srt 16.0 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.srt 15.9 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.srt 15.8 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.srt 15.6 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.srt 15.6 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.srt 15.5 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.srt 15.5 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.srt 15.4 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.srt 15.3 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.srt 15.2 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.srt 15.2 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.srt 15.0 kB
  • 4. Pandas Package/2. Pandas Series.srt 14.7 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.srt 14.6 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.srt 14.5 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.srt 14.2 kB
  • 4. Pandas Package/9. DataFrame - Dealing with Columns.srt 14.1 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.srt 14.1 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.srt 14.0 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.srt 14.0 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.srt 13.7 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.srt 13.2 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.srt 13.2 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.srt 13.2 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.srt 12.7 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.srt 12.6 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.srt 12.4 kB
  • 1. Introduction/2. Getting started with Jupyter Notebook.srt 12.1 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.srt 12.1 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.srt 12.0 kB
  • 2. Descriptive Statistics/1.1 Section 2.ipynb 12.0 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.srt 11.9 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.srt 11.8 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.srt 11.7 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.srt 11.6 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.srt 11.3 kB
  • 5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.srt 11.3 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.srt 11.2 kB
  • 2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.srt 11.0 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.srt 10.9 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.srt 10.8 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.srt 10.5 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.srt 10.5 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.srt 10.3 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.srt 10.3 kB
  • 4. Pandas Package/3. Pandas DataFrame.srt 10.2 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.srt 9.8 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.srt 9.8 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.srt 9.6 kB
  • 1. Introduction/1. Installing Anaconda.srt 9.4 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.srt 9.4 kB
  • 1. Introduction/14. Working with a Dictionary.srt 9.4 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.srt 9.4 kB
  • 2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.srt 9.0 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.srt 9.0 kB
  • 7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.srt 8.8 kB
  • 1. Introduction/11. Working with a List - Part 2.srt 8.4 kB
  • 1. Introduction/5. Variables and Data Types.srt 8.2 kB
  • 6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.srt 8.2 kB
  • 2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.srt 7.9 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.srt 7.9 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.srt 7.8 kB
  • 8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.srt 7.7 kB
  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.srt 7.7 kB
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  • 1. Introduction/3. Download Section 1 Resources and the Course Slides.html 168 Bytes
  • 0. Websites you may like/[FCS Forum].url 133 Bytes
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  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/25. Quiz Binomial Distribution.html 133 Bytes
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  • 2. Descriptive Statistics/10. Solution Find the Inter Quartile Range.html 130 Bytes
  • 0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
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  • 3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/39. Solution Receiving Phone Calls.html 64 Bytes
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  • 1. Introduction/10. Solution Select an element from the list.html 61 Bytes

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