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

Creation Time	Nov. 23, 2023, 3:40 a.m.
Last Access Time	Sept. 18, 2024, 10:05 a.m.
File Size	6.7 GB
Keywords	Statistics FreeCourseSite for Python Data - Analysis Udemy Using com
Total Requests	32
Total Files	289
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 154.8 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 127.8 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 127.2 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 108.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 104.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 102.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 102.2 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 100.5 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 100.1 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 96.5 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 96.4 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 95.9 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 95.0 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 93.4 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 90.6 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 90.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 89.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 89.0 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 88.9 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 88.3 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.mp4 87.6 MB
4. Pandas Package/2. Pandas Series.mp4 87.0 MB
2. Descriptive Statistics/6. Descriptive Statistics Using Python.mp4 85.2 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.mp4 84.7 MB
1. Introduction/8. Working with a List - Part 1.mp4 83.4 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.mp4 83.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.mp4 83.0 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.mp4 82.3 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.mp4 81.6 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.mp4 81.2 MB
2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.mp4 80.0 MB
4. Pandas Package/6. Reading a .csv File (Importing External Data).mp4 79.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.mp4 77.9 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.mp4 76.8 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.mp4 76.5 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.mp4 75.3 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.mp4 75.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.mp4 75.0 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.mp4 75.0 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.mp4 74.6 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.mp4 74.2 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.mp4 73.6 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.mp4 73.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.mp4 70.8 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.mp4 69.8 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.mp4 69.5 MB
1. Introduction/4. Getting started with Python.mp4 69.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.mp4 69.4 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.mp4 69.0 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.mp4 68.3 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.mp4 67.9 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.mp4 67.4 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.mp4 66.8 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/13. [Theory] One Variance Test - Example 2.mp4 62.7 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.mp4 62.7 MB
4. Pandas Package/9. DataFrame - Dealing with Columns.mp4 62.5 MB
2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.mp4 62.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/35. [Theory] Poisson Distributions - An Example.mp4 60.5 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.mp4 60.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4 59.7 MB
1. Introduction/1. Installing Anaconda.mp4 59.6 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.mp4 59.2 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.mp4 59.1 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.mp4 57.7 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.mp4 57.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.mp4 55.8 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.mp4 54.8 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.mp4 54.4 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.mp4 54.1 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.mp4 53.3 MB
4. Pandas Package/3. Pandas DataFrame.mp4 52.9 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.mp4 52.7 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/14. [Theory] The p-Value.mp4 51.9 MB
1. Introduction/2. Getting started with Jupyter Notebook.mp4 51.8 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.mp4 51.5 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.mp4 50.1 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/5. One Sample Z Test - Examples.mp4 49.5 MB
2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.mp4 48.9 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.mp4 48.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/20. [Theory] Why ANOVA.mp4 48.2 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.mp4 47.0 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4 46.6 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.mp4 46.5 MB
1. Introduction/14. Working with a Dictionary.mp4 42.9 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.mp4 41.9 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/3. [Theory] Two Sample z Test - Example.mp4 40.5 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.mp4 40.0 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.mp4 39.1 MB
1. Introduction/5. Variables and Data Types.mp4 38.4 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.mp4 38.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/9. [Theory] Two Sample t Test - Visual Interpretation.mp4 37.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.mp4 36.8 MB
1. Introduction/11. Working with a List - Part 2.mp4 34.8 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/6. Saving the plot as .png or .jpg.mp4 34.4 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/12. Paired t Test Using Python.mp4 34.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2. [Theory] Two Sample z Test - Introduction.mp4 32.2 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/8. One Sample t Test Using Python.mp4 29.9 MB
1. Introduction/17. Logical Operators.mp4 28.1 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/11. [Theory] One Variance Test - Introduction.mp4 27.9 MB
1. Introduction/15. Working with a Tuple.mp4 25.5 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/8. [Theory] Null and Alternate Hypothesis.mp4 21.6 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/6. [Theory] Basics of Hypothesis Testing.mp4 16.3 MB
1. Introduction/16. Working with a Set.mp4 15.9 MB
1. Introduction/3.2 Python Statistics Slides.pdf 2.8 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/1.1 Section 5.ipynb 870.4 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/1.1 Section 3.ipynb 198.9 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2.1 Section 3.ipynb 198.5 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/1.2 Section 8.ipynb 124.0 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2.1 Section 8.ipynb 124.0 KB
4. Pandas Package/1.2 Section 4.ipynb 104.7 KB
4. Pandas Package/2.1 Section 4.ipynb 104.7 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/1.1 Section 6.ipynb 71.3 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/2.1 Section 6.ipynb 71.3 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/1.3 Section 7.ipynb 66.3 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/2.1 Section 7.ipynb 66.3 KB
1. Introduction/3.1 Section 1.ipynb 36.0 KB
4. Pandas Package/10. DataFrame - Dealing with Rows.srt 34.8 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.srt 23.0 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.srt 22.8 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.srt 22.5 KB
1. Introduction/8. Working with a List - Part 1.srt 21.1 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/2. NumPy - Part 1.srt 20.8 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.srt 19.3 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/19. Generating Random Numbers to Simulate the Probability.srt 18.9 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/7. Seaborn - Displot group of plots.srt 18.8 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.srt 18.7 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.srt 18.5 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/23. [Theory] Performing ANOVA by Manual Calculations.srt 17.9 KB
1. Introduction/4. Getting started with Python.srt 17.9 KB
2. Descriptive Statistics/6. Descriptive Statistics Using Python.srt 17.8 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/26. Binomial Distribution Using NumPy.srt 16.9 KB
4. Pandas Package/6. Reading a .csv File (Importing External Data).srt 16.7 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.srt 16.3 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/25. Conducting ANOVA Using Python - mpg Dataset.srt 15.9 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/7. NumPy - Part 2.srt 15.8 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.srt 15.8 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.srt 15.7 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.srt 15.7 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.srt 15.6 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/37. Poisson Distribution Using SciPy.srt 15.6 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/12. [Theory] Hypothesis Testing - An Overview.srt 15.4 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/10. [Theory] Types of Errors - Type I and Type II Errors.srt 15.3 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/8. Seaborn - Catplot group of plots.srt 15.3 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/18. Two Variances Test Using Python.srt 15.1 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/4. Two Sample z Test Using Python.srt 15.1 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/26. [Theory] Goodness of Fit.srt 15.1 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.srt 15.0 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.srt 14.8 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/10. One Proportion Test Using Python.srt 14.8 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.srt 14.6 KB
4. Pandas Package/2. Pandas Series.srt 14.3 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.srt 14.3 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/45. Normal Distribution Using NumPy.srt 14.2 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/43. [Theory] Normal Distribution - Part 2.srt 13.8 KB
4. Pandas Package/9. DataFrame - Dealing with Columns.srt 13.8 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/28. [Theory] Contingency Tables.srt 13.7 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.srt 13.7 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/3. Box Plot using matplotlib.pyplot.srt 13.6 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/49. Descriptive Statistics Using NumPy.srt 13.4 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/2. Histogram using matplotlib.pyplot.srt 12.9 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/3. [Theory] Central Limit Theorem.srt 12.9 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/12. NumPy - Part 3.srt 12.9 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/9. Seaborn - Relplot group of plots.srt 12.4 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/6. [Theory] Two Sample t Test - Conditions and Calculations.srt 12.3 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/14. One Variance Test Using Python.srt 12.1 KB
1. Introduction/2. Getting started with Jupyter Notebook.srt 11.8 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/27. Goodness of Fit Test Using Python.srt 11.8 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/7. One Sample t Test.srt 11.8 KB
2. Descriptive Statistics/1.1 Section 2.ipynb 11.7 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/17. [Theory] Basics of Probability - Part 3.srt 11.6 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/4. Line and Scatter Plots using matplotlib.pyplot.srt 11.5 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/20. A Sample Probability Question.srt 11.4 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.srt 11.3 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.srt 11.1 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/5. Bar Plot using matplotlib.pyplot.srt 11.0 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.srt 10.9 KB
2. Descriptive Statistics/2. [Theory] Measurement of Central Tendency.srt 10.7 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/15. [Theory] Two Proportions Test - An Example of Pooled Method.srt 10.6 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/5. Two Sample z Test Using Python - tips Dataset.srt 10.6 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/15. [Theory] Basics of Probability - Part 1.srt 10.3 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/21. [Theory] ANOVA - Conceptual Understanding.srt 10.2 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/2. [Theory] Population vs Samples.srt 10.1 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/36. Poisson Distribution Using NumPy.srt 10.0 KB
4. Pandas Package/3. Pandas DataFrame.srt 9.9 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/3. [Theory] One Sample Z Test - Conditions.srt 9.6 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/23. [Theory] Probability Distributions - Introduction.srt 9.6 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/16. Two Proportions Test Using Python.srt 9.4 KB
1. Introduction/1. Installing Anaconda.srt 9.2 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/22. [Theory] Statistics behind ANOVA.srt 9.2 KB
1. Introduction/14. Working with a Dictionary.srt 9.2 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/12. [Theory] One Variance Test - Example 1.srt 9.2 KB
2. Descriptive Statistics/3. [Theory] Measurement of Dispersion - Part 1.srt 8.8 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/24. Conducting ANOVA Using Python.srt 8.8 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/4. [Theory] One Sample Z Test.srt 8.6 KB
1. Introduction/11. Working with a List - Part 2.srt 8.2 KB
1. Introduction/5. Variables and Data Types.srt 8.0 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/7. [Theory] Statistical and Practical Significance.srt 8.0 KB
2. Descriptive Statistics/4. [Theory] Measurement of Dispersion - Part 2.srt 7.7 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/10. Two Sample t Test Using Python.srt 7.7 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/19. [Theory] ANOVA - Introduction.srt 7.6 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/13. [Theory] Two Proportions Test - Introduction.srt 7.6 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/34. [Theory] Poisson Distribution.srt 7.5 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/3. [Theory] Two Sample z Test - Example.srt 7.3 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/20. [Theory] Why ANOVA.srt 7.3 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/35. [Theory] Poisson Distributions - An Example.srt 7.2 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/13. [Theory] One Variance Test - Example 2.srt 7.2 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/2. [Theory] Two Sample z Test - Introduction.srt 7.1 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/9. [Theory] Two Sample t Test - Visual Interpretation.srt 6.8 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/5. One Sample Z Test - Examples.srt 6.6 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/8. One Sample t Test Using Python.srt 6.0 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/12. Paired t Test Using Python.srt 5.9 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/6. Saving the plot as .png or .jpg.srt 5.4 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/14. [Theory] The p-Value.srt 5.3 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.srt 5.2 KB
1. Introduction/17. Logical Operators.srt 5.1 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/11. [Theory] One Variance Test - Introduction.srt 4.9 KB
1. Introduction/15. Working with a Tuple.srt 4.5 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/8. [Theory] Null and Alternate Hypothesis.srt 4.3 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/6. [Theory] Basics of Hypothesis Testing.srt 4.1 KB
1. Introduction/16. Working with a Set.srt 3.9 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/1.1 Two Machines.csv 3.5 KB
4. Pandas Package/1.1 Piece_Dim.csv 1.6 KB
4. Pandas Package/6.1 Piece_Dim.csv 1.6 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/1.2 Piece_Dim.csv 1.6 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/1.2 Smokers.csv 1.4 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/10.1 Smokers.csv 1.4 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/1.1 Machine1.csv 803 bytes
7. Hypothesis Testing Part 1 (One Sample Tests)/6.1 Machine1.csv 803 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/51. Solution Mean of Rows.html 601 bytes
4. Pandas Package/12. Solution What is the Temperature on Monday.html 449 bytes
4. Pandas Package/5. Solution Create a DataFrame.html 447 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/48. Solution Area of curve between two values of z.html 326 bytes
2. Descriptive Statistics/8. Solution Find the mean, mode, median and standard deviation.html 179 bytes
1. Introduction/3. Download Section 1 Resources and the Course Slides.html 168 bytes
1. Introduction/12. A review of lists.html 133 bytes
1. Introduction/6. Introduction to coding exercises.html 133 bytes
1. Introduction/9. Select an element from the list.html 133 bytes
2. Descriptive Statistics/5. Quiz Descriptive Statistics.html 133 bytes
2. Descriptive Statistics/7. Find the mean, mode, median and standard deviation.html 133 bytes
2. Descriptive Statistics/9. Find the Inter Quartile Range.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/10. Select a subsection of an Array.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/13. Divide the Array elements by 10.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/18. Quiz Basics of Probability.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/21. Generate Five Random Numbers.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/25. Quiz Binomial Distribution.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/28. Flipping a Coin.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/3. Two Dimensional Array.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/30. Let's Flip Again.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/32. Number of defectives in a selection.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/38. Receiving Phone Calls.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/40. Probability of more than 6 calls.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/44. Quiz Normal Distrubution.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/47. Area of curve between two values of z.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/5. Creating a Numpy array.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/50. Mean of Rows.html 133 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/8. Filtering from an Array.html 133 bytes
4. Pandas Package/11. What is the Temperature on Monday.html 133 bytes
4. Pandas Package/4. Create a DataFrame.html 133 bytes
4. Pandas Package/7. Importing a CSV file.html 133 bytes
6. Inferential Statistics and Hypothesis Testing - Introduction/15. Quiz Hypothesis Testing Basics.html 133 bytes
6. Inferential Statistics and Hypothesis Testing - Introduction/4. Quiz Population vs Samples + Central Limit Theorem.html 133 bytes
7. Hypothesis Testing Part 1 (One Sample Tests)/15. Quiz Hypothesis Testing Part 1.html 133 bytes
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/29. Quiz Hypothesis Testing Part 2.html 133 bytes
2. Descriptive Statistics/10. Solution Find the Inter Quartile Range.html 130 bytes
0. Websites you may like/[FreeCourseSite.com].url 127 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/31. Solution Let's Flip Again.html 104 bytes
4. Pandas Package/8. Solution Importing a CSV file.html 98 bytes
1. Introduction/7. Solution Introduction to coding exercises.html 96 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/6. Solution Creating a Numpy array.html 93 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/9. Solution Filtering from an Array.html 82 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/4. Solution Two Dimensional Array.html 79 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/22. Solution Generate Five Random Numbers.html 76 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/33. Solution Number of defectives in a selection.html 75 bytes
1. Introduction/13. Solution A review of lists.html 72 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/29. Solution Flipping a Coin.html 72 bytes
2. Descriptive Statistics/1. Download Section 2 Resources.html 71 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/1. Download Section 3 Resources.html 71 bytes
4. Pandas Package/1. Download Section 4 Resources.html 71 bytes
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/1. Download Section 5 Resources.html 71 bytes
6. Inferential Statistics and Hypothesis Testing - Introduction/1. Download Section 6 Resources.html 71 bytes
7. Hypothesis Testing Part 1 (One Sample Tests)/1. Download Section 7 Resources.html 71 bytes
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/1. Download Section 8 Resources.html 71 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/41. Solution Probability of more than 6 calls.html 67 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/11. Solution Select a subsection of an Array.html 65 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/39. Solution Receiving Phone Calls.html 64 bytes
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/14. Solution Divide the array elements by 10.html 63 bytes
1. Introduction/10. Solution Select an element from the list.html 61 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes

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

File List

Download Torrent

Related Resources

Copyright Infringement