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种子名称： [FreeCourseSite.com] Udemy - Statistics for Data Analysis Using Python
文件类型： 视频
文件数目： 103个文件
文件大小： 6.69 GB
收录时间： 2022-1-8 04:41
已经下载： 3次
资源热度： 236
最近下载： 2024-12-21 22:30

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

1. Introduction/1. Installing Anaconda.mp459.61MB

1. Introduction/11. Working with a List - Part 2.mp434.78MB

1. Introduction/14. Working with a Dictionary.mp442.92MB

1. Introduction/15. Working with a Tuple.mp425.55MB

1. Introduction/16. Working with a Set.mp415.89MB

1. Introduction/17. Logical Operators.mp428.14MB

1. Introduction/2. Getting started with Jupyter Notebook.mp451.84MB

1. Introduction/4. Getting started with Python.mp469.41MB

1. Introduction/5. Variables and Data Types.mp438.37MB

1. Introduction/8. Working with a List - Part 1.mp483.42MB

2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.mp480MB

2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.mp462.52MB

2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.mp448.94MB

2. Descriptive Statistics/6. Descriptive Statistics Using Python.mp485.19MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.mp473.15MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.mp451.52MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp488.9MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.mp469.39MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.mp487.57MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.mp475MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.mp457.65MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.mp441.87MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4127.19MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.mp473.61MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4108.05MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.mp469.78MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/35. [Theory] Poisson Distributions - An Example.mp460.45MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.mp446.47MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.mp476.45MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp490.29MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.mp482.99MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.mp474.2MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4102.24MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.mp462.66MB

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.mp475.14MB

4. Pandas Package/10. DataFrame - Dealing with Rows.mp4154.78MB

4. Pandas Package/2. Pandas Series.mp486.99MB

4. Pandas Package/3. Pandas DataFrame.mp452.9MB

4. Pandas Package/6. Reading a .csv File (Importing External Data).mp479.3MB

4. Pandas Package/9. DataFrame - Dealing with Columns.mp462.52MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4100.54MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.mp459.2MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.mp474.61MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.mp454.07MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.mp447MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/6. Saving the plot as .png or .jpg.mp434.42MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.mp476.79MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.mp467.91MB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.mp481.23MB

6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.mp475.33MB

6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp489.6MB

6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.mp484.68MB

6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4100.09MB

6. Inferential Statistics and Hypothesis Testing - Introduction/14. [Theory] The p-Value.mp451.89MB

6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4102.52MB

6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.mp460.31MB

6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.mp468.29MB

6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4127.85MB

6. Inferential Statistics and Hypothesis Testing - Introduction/6. [Theory] Basics of Hypothesis Testing.mp416.34MB

6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.mp438.26MB

6. Inferential Statistics and Hypothesis Testing - Introduction/8. [Theory] Null and Alternate Hypothesis.mp421.61MB

6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp496.4MB

7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.mp481.59MB

7. Hypothesis Testing Part 1 (One Sample Tests)/11. [Theory] One Variance Test - Introduction.mp427.86MB

7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.mp453.29MB

7. Hypothesis Testing Part 1 (One Sample Tests)/13. [Theory] One Variance Test - Example 2.mp462.73MB

7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.mp469.46MB

7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp496.48MB

7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.mp450.06MB

7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.mp483.39MB

7. Hypothesis Testing Part 1 (One Sample Tests)/5. One Sample Z Test - Examples.mp449.54MB

7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp490.56MB

7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.mp482.33MB

7. Hypothesis Testing Part 1 (One Sample Tests)/8. One Sample t Test Using Python.mp429.89MB

7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp493.44MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.mp448.29MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp489.01MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/12. Paired t Test Using Python.mp434.29MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.mp452.67MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp446.59MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.mp459.7MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.mp454.42MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp495.03MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.mp469.02MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.mp440.01MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2. [Theory] Two Sample z Test - Introduction.mp432.21MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/20. [Theory] Why ANOVA.mp448.18MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.mp439.11MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.mp436.83MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.mp475.03MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.mp454.84MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.mp477.87MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.mp470.76MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.mp467.43MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.mp457.63MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/3. [Theory] Two Sample z Test - Example.mp440.46MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp495.91MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.mp466.82MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.mp455.76MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.mp459.12MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp488.32MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4104.27MB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/9. [Theory] Two Sample t Test - Visual Interpretation.mp437.63MB