[] Udemy - Statistics for Data Analysis Using Python

收录时间:2021-06-02 12:34:02
文件大小:7GB
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最近下载:2021-06-02 12:34:02
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文件列表

4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 155MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 128MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 127MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 108MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 104MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 103MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 102MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 101MB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 100MB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 96MB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 96MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 96MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 95MB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 93MB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 91MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 90MB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 90MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 89MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 89MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 88MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.mp4 88MB
4. Pandas Package/2. Pandas Series.mp4 87MB
2. Descriptive Statistics/6. Descriptive Statistics Using Python.mp4 85MB
6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.mp4 85MB
1. Introduction/8. Working with a List - Part 1.mp4 83MB
7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.mp4 83MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.mp4 83MB
7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.mp4 82MB
7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.mp4 82MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.mp4 81MB
2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.mp4 80MB
4. Pandas Package/6. Reading a .csv File (Importing External Data).mp4 79MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.mp4 78MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.mp4 77MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.mp4 76MB
6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.mp4 75MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.mp4 75MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.mp4 75MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.mp4 75MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.mp4 75MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.mp4 74MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.mp4 74MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.mp4 73MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.mp4 71MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.mp4 70MB
7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.mp4 69MB
1. Introduction/4. Getting started with Python.mp4 69MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.mp4 69MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.mp4 69MB
6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.mp4 68MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.mp4 68MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.mp4 67MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.mp4 67MB
7. Hypothesis Testing Part 1 (One Sample Tests)/13. [Theory] One Variance Test - Example 2.mp4 63MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.mp4 63MB
4. Pandas Package/9. DataFrame - Dealing with Columns.mp4 63MB
2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.mp4 63MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/35. [Theory] Poisson Distributions - An Example.mp4 60MB
6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.mp4 60MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4 60MB
1. Introduction/1. Installing Anaconda.mp4 60MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.mp4 59MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.mp4 59MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.mp4 58MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.mp4 58MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.mp4 56MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.mp4 55MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.mp4 54MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.mp4 54MB
7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.mp4 53MB
4. Pandas Package/3. Pandas DataFrame.mp4 53MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.mp4 53MB
6. Inferential Statistics and Hypothesis Testing - Introduction/14. [Theory] The p-Value.mp4 52MB
1. Introduction/2. Getting started with Jupyter Notebook.mp4 52MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.mp4 52MB
7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.mp4 50MB
7. Hypothesis Testing Part 1 (One Sample Tests)/5. One Sample Z Test - Examples.mp4 50MB
2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.mp4 49MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.mp4 48MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/20. [Theory] Why ANOVA.mp4 48MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.mp4 47MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4 47MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.mp4 46MB
1. Introduction/14. Working with a Dictionary.mp4 43MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.mp4 42MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/3. [Theory] Two Sample z Test - Example.mp4 40MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.mp4 40MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.mp4 39MB
1. Introduction/5. Variables and Data Types.mp4 38MB
6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.mp4 38MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/9. [Theory] Two Sample t Test - Visual Interpretation.mp4 38MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.mp4 37MB
1. Introduction/11. Working with a List - Part 2.mp4 35MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/6. Saving the plot as .png or .jpg.mp4 34MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/12. Paired t Test Using Python.mp4 34MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2. [Theory] Two Sample z Test - Introduction.mp4 32MB
7. Hypothesis Testing Part 1 (One Sample Tests)/8. One Sample t Test Using Python.mp4 30MB
1. Introduction/17. Logical Operators.mp4 28MB
7. Hypothesis Testing Part 1 (One Sample Tests)/11. [Theory] One Variance Test - Introduction.mp4 28MB
1. Introduction/15. Working with a Tuple.mp4 26MB
6. Inferential Statistics and Hypothesis Testing - Introduction/8. [Theory] Null and Alternate Hypothesis.mp4 22MB
6. Inferential Statistics and Hypothesis Testing - Introduction/6. [Theory] Basics of Hypothesis Testing.mp4 16MB
1. Introduction/16. Working with a Set.mp4 16MB
1. Introduction/3.2 Python Statistics Slides.pdf 3MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/1.1 Section 5.ipynb 870KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/1.1 Section 3.ipynb 199KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2.1 Section 3.ipynb 199KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/1.2 Section 8.ipynb 124KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2.1 Section 8.ipynb 124KB
4. Pandas Package/1.2 Section 4.ipynb 105KB
4. Pandas Package/2.1 Section 4.ipynb 105KB
6. Inferential Statistics and Hypothesis Testing - Introduction/1.1 Section 6.ipynb 71KB
6. Inferential Statistics and Hypothesis Testing - Introduction/2.1 Section 6.ipynb 71KB
7. Hypothesis Testing Part 1 (One Sample Tests)/1.3 Section 7.ipynb 66KB
7. Hypothesis Testing Part 1 (One Sample Tests)/2.1 Section 7.ipynb 66KB
1. Introduction/3.1 Section 1.ipynb 36KB
4. Pandas Package/10. DataFrame - Dealing with Rows.srt 35KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.srt 23KB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.srt 23KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.srt 22KB
1. Introduction/8. Working with a List - Part 1.srt 21KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.srt 21KB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.srt 19KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.srt 19KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.srt 19KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.srt 19KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.srt 19KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.srt 18KB
1. Introduction/4. Getting started with Python.srt 18KB
2. Descriptive Statistics/6. Descriptive Statistics Using Python.srt 18KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.srt 17KB
4. Pandas Package/6. Reading a .csv File (Importing External Data).srt 17KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.srt 16KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.srt 16KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.srt 16KB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.srt 16KB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.srt 16KB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.srt 16KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.srt 16KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.srt 16KB
6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.srt 15KB
6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.srt 15KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.srt 15KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.srt 15KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.srt 15KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.srt 15KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.srt 15KB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.srt 15KB
7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.srt 15KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.srt 15KB
4. Pandas Package/2. Pandas Series.srt 14KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.srt 14KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.srt 14KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.srt 14KB
4. Pandas Package/9. DataFrame - Dealing with Columns.srt 14KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.srt 14KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.srt 14KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.srt 14KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.srt 13KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.srt 13KB
6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.srt 13KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.srt 13KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.srt 12KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.srt 12KB
7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.srt 12KB
1. Introduction/2. Getting started with Jupyter Notebook.srt 12KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.srt 12KB
7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.srt 12KB
2. Descriptive Statistics/1.1 Section 2.ipynb 12KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.srt 12KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.srt 11KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.srt 11KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.srt 11KB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.srt 11KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.srt 11KB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.srt 11KB
2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.srt 11KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.srt 11KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.srt 11KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.srt 10KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.srt 10KB
6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.srt 10KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.srt 10KB
4. Pandas Package/3. Pandas DataFrame.srt 10KB
7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.srt 10KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.srt 10KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.srt 9KB
1. Introduction/1. Installing Anaconda.srt 9KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.srt 9KB
1. Introduction/14. Working with a Dictionary.srt 9KB
7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.srt 9KB
2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.srt 9KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.srt 9KB
7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.srt 9KB
1. Introduction/11. Working with a List - Part 2.srt 8KB
1. Introduction/5. Variables and Data Types.srt 8KB
6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.srt 8KB
2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.srt 8KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.srt 8KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.srt 8KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.srt 8KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.srt 8KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/3. [Theory] Two Sample z Test - Example.srt 7KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/20. [Theory] Why ANOVA.srt 7KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/35. [Theory] Poisson Distributions - An Example.srt 7KB
7. Hypothesis Testing Part 1 (One Sample Tests)/13. [Theory] One Variance Test - Example 2.srt 7KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2. [Theory] Two Sample z Test - Introduction.srt 7KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/9. [Theory] Two Sample t Test - Visual Interpretation.srt 7KB
7. Hypothesis Testing Part 1 (One Sample Tests)/5. One Sample Z Test - Examples.srt 7KB
7. Hypothesis Testing Part 1 (One Sample Tests)/8. One Sample t Test Using Python.srt 6KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/12. Paired t Test Using Python.srt 6KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/6. Saving the plot as .png or .jpg.srt 5KB
6. Inferential Statistics and Hypothesis Testing - Introduction/14. [Theory] The p-Value.srt 5KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.srt 5KB
1. Introduction/17. Logical Operators.srt 5KB
7. Hypothesis Testing Part 1 (One Sample Tests)/11. [Theory] One Variance Test - Introduction.srt 5KB
1. Introduction/15. Working with a Tuple.srt 4KB
6. Inferential Statistics and Hypothesis Testing - Introduction/8. [Theory] Null and Alternate Hypothesis.srt 4KB
6. Inferential Statistics and Hypothesis Testing - Introduction/6. [Theory] Basics of Hypothesis Testing.srt 4KB
1. Introduction/16. Working with a Set.srt 4KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/1.1 Two Machines.csv 4KB
4. Pandas Package/1.1 Piece_Dim.csv 2KB
4. Pandas Package/6.1 Piece_Dim.csv 2KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/1.2 Piece_Dim.csv 2KB
7. Hypothesis Testing Part 1 (One Sample Tests)/1.2 Smokers.csv 1KB
7. Hypothesis Testing Part 1 (One Sample Tests)/10.1 Smokers.csv 1KB
7. Hypothesis Testing Part 1 (One Sample Tests)/1.1 Machine1.csv 803B
7. Hypothesis Testing Part 1 (One Sample Tests)/6.1 Machine1.csv 803B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/51. Solution Mean of Rows.html 601B
4. Pandas Package/12. Solution What is the Temperature on Monday.html 449B
4. Pandas Package/5. Solution Create a DataFrame.html 447B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/48. Solution Area of curve between two values of z.html 326B
2. Descriptive Statistics/8. Solution Find the mean, mode, median and standard deviation.html 179B
1. Introduction/3. Download Section 1 Resources and the Course Slides.html 168B
1. Introduction/12. A review of lists.html 133B
1. Introduction/6. Introduction to coding exercises.html 133B
1. Introduction/9. Select an element from the list.html 133B
2. Descriptive Statistics/5. Quiz Descriptive Statistics.html 133B
2. Descriptive Statistics/7. Find the mean, mode, median and standard deviation.html 133B
2. Descriptive Statistics/9. Find the Inter Quartile Range.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/10. Select a subsection of an Array.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/13. Divide the Array elements by 10.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/18. Quiz Basics of Probability.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/21. Generate Five Random Numbers.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/25. Quiz Binomial Distribution.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/28. Flipping a Coin.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/3. Two Dimensional Array.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/30. Let's Flip Again.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/32. Number of defectives in a selection.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/38. Receiving Phone Calls.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/40. Probability of more than 6 calls.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/44. Quiz Normal Distrubution.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/47. Area of curve between two values of z.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/5. Creating a Numpy array.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/50. Mean of Rows.html 133B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/8. Filtering from an Array.html 133B
4. Pandas Package/11. What is the Temperature on Monday.html 133B
4. Pandas Package/4. Create a DataFrame.html 133B
4. Pandas Package/7. Importing a CSV file.html 133B
6. Inferential Statistics and Hypothesis Testing - Introduction/15. Quiz Hypothesis Testing Basics.html 133B
6. Inferential Statistics and Hypothesis Testing - Introduction/4. Quiz Population vs Samples + Central Limit Theorem.html 133B
7. Hypothesis Testing Part 1 (One Sample Tests)/15. Quiz Hypothesis Testing Part 1.html 133B
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/29. Quiz Hypothesis Testing Part 2.html 133B
2. Descriptive Statistics/10. Solution Find the Inter Quartile Range.html 130B
1. Introduction/[Tutorialsplanet.NET].url 128B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/[Tutorialsplanet.NET].url 128B
7. Hypothesis Testing Part 1 (One Sample Tests)/[Tutorialsplanet.NET].url 128B
[Tutorialsplanet.NET].url 128B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/31. Solution Let's Flip Again.html 104B
4. Pandas Package/8. Solution Importing a CSV file.html 98B
1. Introduction/7. Solution Introduction to coding exercises.html 96B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/6. Solution Creating a Numpy array.html 93B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/9. Solution Filtering from an Array.html 82B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/4. Solution Two Dimensional Array.html 79B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/22. Solution Generate Five Random Numbers.html 76B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/33. Solution Number of defectives in a selection.html 75B
1. Introduction/13. Solution A review of lists.html 72B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/29. Solution Flipping a Coin.html 72B
2. Descriptive Statistics/1. Download Section 2 Resources.html 71B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/1. Download Section 3 Resources.html 71B
4. Pandas Package/1. Download Section 4 Resources.html 71B
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/1. Download Section 5 Resources.html 71B
6. Inferential Statistics and Hypothesis Testing - Introduction/1. Download Section 6 Resources.html 71B
7. Hypothesis Testing Part 1 (One Sample Tests)/1. Download Section 7 Resources.html 71B
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/1. Download Section 8 Resources.html 71B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/41. Solution Probability of more than 6 calls.html 67B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/11. Solution Select a subsection of an Array.html 65B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/39. Solution Receiving Phone Calls.html 64B
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/14. Solution Divide the array elements by 10.html 63B
1. Introduction/10. Solution Select an element from the list.html 61B