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UdemyCourseDownloader Statistics for Data Science and Business Analysis

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[UdemyCourseDownloader] Statistics for Data Science and Business Analysis

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Total Size

2.0 GB

Total Files

237

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CD4019836EE4425EA11E7057F70AADD09BFA69C2

/17. Practical example regression analysis/

1. Practical example regression analysis.mp4

135.6 MB

1. Practical example regression analysis.vtt

16.4 KB

1.1 5.21. Regression_Analysis_practical_example.xlsx.xlsx

1.5 MB

/

udemycoursedownloader.com.url

0.1 KB

Udemy Course downloader.txt

0.1 KB

/01. Introduction/

1. What does the course cover.mp4

72.0 MB

1. What does the course cover.vtt

5.3 KB

1.1 Statistics Glossary.xlsx.xlsx

20.8 KB

2. Download all resources.html

0.7 KB

/02. Sample or population data/

1. Understanding the difference between a population and a sample.mp4

60.9 MB

1. Understanding the difference between a population and a sample.vtt

5.1 KB

1.1 Glossary.xlsx.xlsx

20.4 KB

1.2 Course notes_descriptive_statistics.pdf.pdf

493.8 KB

2. Population vs sample.html

0.2 KB

/03. The fundamentals of descriptive statistics/

1. The various types of data we can work with.mp4

76.1 MB

1. The various types of data we can work with.vtt

5.6 KB

1.1 Course notes_descriptive_statistics.pdf.pdf

493.8 KB

2. Types of data.html

0.2 KB

3. Levels of measurement.mp4

57.0 MB

3. Levels of measurement.vtt

4.4 KB

4. Levels of measurement.html

0.2 KB

5. Categorical variables. Visualization techniques for categorical variables.mp4

40.4 MB

5. Categorical variables. Visualization techniques for categorical variables.vtt

6.2 KB

5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx

31.5 KB

6. Categorical variables. Visualization Techniques.html

0.2 KB

7. Categorical variables. Visualization techniques. Exercise.html

0.1 KB

7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx

15.6 KB

7.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf

296.1 KB

7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx

15.6 KB

7.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf

296.1 KB

7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx

42.1 KB

8. Numerical variables. Using a frequency distribution table.mp4

27.1 MB

8. Numerical variables. Using a frequency distribution table.vtt

4.1 KB

8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx

11.7 KB

9. Numerical variables. Using a frequency distribution table.html

0.2 KB

10. Numerical variables. Using a frequency distribution table. Exercise.html

0.1 KB

10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx

12.0 KB

10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx

13.2 KB

10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx

12.0 KB

10.2 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx

13.2 KB

11. Histogram charts.mp4

14.5 MB

11. Histogram charts.vtt

3.0 KB

11.1 2.5. The Histogram_lesson.xlsx.xlsx

19.1 KB

12. Histogram charts.html

0.2 KB

13. Histogram charts. Exercise.html

0.1 KB

13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf

296.1 KB

13.2 2.5. The Histogram_exercise.xlsx.xlsx

15.9 KB

13.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx

17.5 KB

13.3 2.5. The Histogram_exercise.xlsx.xlsx

15.9 KB

13.3 2.5.The-Histogram-exercise-solution.xlsx.xlsx

17.5 KB

14. Cross tables and scatter plots.mp4

41.7 MB

14. Cross tables and scatter plots.vtt

6.4 KB

14.1 2.6. Cross table and scatter plot.xlsx.xlsx

26.7 KB

15. Cross Tables and Scatter Plots.html

0.2 KB

16. Cross tables and scatter plots. Exercise.html

0.1 KB

16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx

16.7 KB

16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx

41.4 KB

16.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx

16.7 KB

16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx

41.4 KB

/04. Measures of central tendency, asymmetry, and variability/

1. The main measures of central tendency mean, median and mode.mp4

38.9 MB

1. The main measures of central tendency mean, median and mode.vtt

5.4 KB

1.1 2.7. Mean, median and mode_lesson.xlsx.xlsx

10.7 KB

2. Mean, median and mode. Exercise.html

0.1 KB

2.1 2.7. Mean, median and mode_exercise.xlsx.xlsx

11.1 KB

2.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx

11.6 KB

3. Measuring skewness.mp4

20.4 MB

3. Measuring skewness.vtt

3.5 KB

3.1 2.8. Skewness_lesson.xlsx.xlsx

35.5 KB

4. Skewness.html

0.2 KB

5. Skewness. Exercise.html

0.1 KB

5.1 2.8. Skewness_exercise.xlsx.xlsx

9.7 KB

5.2 2.8. Skewness_exercise_solution.xlsx.xlsx

20.3 KB

6. Measuring how data is spread out calculating variance.mp4

53.4 MB

6. Measuring how data is spread out calculating variance.vtt

7.2 KB

6.1 2.9. Variance_lesson.xlsx.xlsx

10.3 KB

7. Variance. Exercise.html

0.1 KB

7.1 2.9. Variance_exercise.xlsx.xlsx

11.1 KB

7.1 2.9. Variance_exercise_solution.xlsx.xlsx

11.3 KB

7.2 2.9. Variance_exercise.xlsx.xlsx

11.1 KB

7.2 2.9. Variance_exercise_solution.xlsx.xlsx

11.3 KB

8. Standard deviation and coefficient of variation.mp4

47.4 MB

8. Standard deviation and coefficient of variation.vtt

5.8 KB

8.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx

11.2 KB

9. Standard deviation.html

0.2 KB

10. Standard deviation and coefficient of variation. Exercise.html

0.1 KB

10.1 2.10. Standard deviation and coefficient of variation_exercise.xlsx.xlsx

11.6 KB

10.2 2.10. Standard deviation and coefficient of variation_exercise_solution.xlsx.xlsx

12.7 KB

11. Calculating and understanding covariance.mp4

28.8 MB

11. Calculating and understanding covariance.vtt

4.6 KB

11.1 2.11. Covariance_lesson.xlsx.xlsx

25.5 KB

12. Calculating and understanding covariance.html

0.2 KB

13. Covariance. Exercise.html

0.1 KB

13.1 2.11. Covariance_exercise.xlsx.xlsx

20.7 KB

13.1 2.11. Covariance_exercise_solution.xlsx.xlsx

30.2 KB

13.2 2.11. Covariance_exercise.xlsx.xlsx

20.7 KB

13.2 2.11. Covariance_exercise_solution.xlsx.xlsx

30.2 KB

14. The correlation coefficient.mp4

30.8 MB

14. The correlation coefficient.vtt

4.5 KB

14.1 2.12. Correlation_lesson.xlsx.xlsx

25.6 KB

15. Correlation.html

0.2 KB

16. Correlation coefficient.html

0.1 KB

16.1 2.12. Correlation_exercise.xlsx.xlsx

30.0 KB

16.2 2.12. Correlation_exercise_solution.xlsx.xlsx

30.2 KB

/09. Practical example inferential statistics/

1. Practical example inferential statistics.mp4

107.6 MB

1. Practical example inferential statistics.vtt

12.8 KB

1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx

1.8 MB

2. Practical example inferential statistics.html

0.1 KB

2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx

1.9 MB

2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx

1.8 MB

/10. Hypothesis testing Introduction/

1. The null and the alternative hypothesis.mp4

96.6 MB

1. The null and the alternative hypothesis.vtt

6.4 KB

1.1 Course notes_hypothesis_testing.pdf.pdf

663.8 KB

2. Further reading on null and alternative hypotheses.html

2.3 KB

3. Null vs alternative.html

0.2 KB

4. Establishing a rejection region and a significance level.mp4

118.2 MB

4. Establishing a rejection region and a significance level.vtt

8.3 KB

4.1 Course notes_hypothesis_testing.pdf.pdf

663.8 KB

5. Rejection region and significance level.html

0.2 KB

6. Type I error vs Type II error.mp4

46.1 MB

6. Type I error vs Type II error.vtt

5.2 KB

7. Type I error vs type II error.html

0.2 KB

/11. Hypothesis testing Let's start testing!/

1. Test for the mean. Population variance known.mp4

56.9 MB

1. Test for the mean. Population variance known.vtt

7.3 KB

1.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx

11.2 KB

2. Test for the mean. Population variance known. Exercise.html

0.1 KB

2.1 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx

11.3 KB

2.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx

11.5 KB

2.2 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx

11.3 KB

2.2 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx

11.5 KB

3. What is the p-value and why is it one of the most useful tools for statisticians.mp4

58.6 MB

3. What is the p-value and why is it one of the most useful tools for statisticians.vtt

4.9 KB

3.1 Online p-value calculator.pdf.pdf

1.2 MB

4. p-value.html

0.2 KB

5. Test for the mean. Population variance unknown.mp4

42.2 MB

5. Test for the mean. Population variance unknown.vtt

5.4 KB

5.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx

14.9 KB

6. Test for the mean. Population variance unknown. Exercise.html

0.1 KB

6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx

12.9 KB

6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx

11.6 KB

6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx

12.9 KB

6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx

11.6 KB

7. Test for the mean. Dependent samples.mp4

52.9 MB

7. Test for the mean. Dependent samples.vtt

6.1 KB

7.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx

10.0 KB

8. Test for the mean. Dependent samples. Exercise.html

0.1 KB

8.1 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx

13.1 KB

8.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx

14.7 KB

8.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx

13.1 KB

8.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx

14.7 KB

9. Test for the mean. Independent samples (Part 1).mp4

31.4 MB

9. Test for the mean. Independent samples (Part 1).vtt

5.1 KB

9.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx

9.9 KB

10. Test for the mean. Independent samples (Part 1).html

0.1 KB

10.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx

11.5 KB

10.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx

11.0 KB

11. Test for the mean. Independent samples (Part 2).mp4

38.2 MB

11. Test for the mean. Independent samples (Part 2).vtt

4.8 KB

11.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx

9.5 KB

12. Test for the mean. Independent samples (Part 2).html

0.2 KB

13. Test for the mean. Independent samples (Part 2). Exercise.html

0.1 KB

13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx

11.7 KB

13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx

10.8 KB

13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx

11.7 KB

13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx

10.8 KB

/12. Practical example hypothesis testing/

1. Practical example hypothesis testing.mp4

72.8 MB

1. Practical example hypothesis testing.vtt

7.8 KB

1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx

53.0 KB

2. Practical example hypothesis testing.html

0.1 KB

2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx

44.4 KB

2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx

45.1 KB

/13. The fundamentals of regression analysis/

1. Introduction to regression analysis.mp4

20.3 MB

1. Introduction to regression analysis.vtt

1.5 KB

2. Introduction.html

0.2 KB

3. Correlation and causation.mp4

26.8 MB

3. Correlation and causation.vtt

5.3 KB

3.1 5.2. Correlation and causation_lesson.xlsx.xlsx

10.9 KB

4. Correlation and causation.html

0.2 KB

5. The linear regression model made easy.mp4

53.5 MB

5. The linear regression model made easy.vtt

6.6 KB

6. The linear regression model.html

0.2 KB

7. What is the difference between correlation and regression.mp4

13.3 MB

7. What is the difference between correlation and regression.vtt

1.9 KB

8. Correlation vs regression.html

0.2 KB

9. A geometrical representation of the linear regression model.mp4

5.1 MB

9. A geometrical representation of the linear regression model.vtt

1.6 KB

10. A geometrical representation of the linear regression model.html

0.2 KB

11. A practical example - Reinforced learning.mp4

48.1 MB

11. A practical example - Reinforced learning.vtt

7.1 KB

11.1 5.6. Example_lesson.xlsx.xlsx

24.1 KB

/14. Subtleties of regression analysis/

1. Decomposing the linear regression model - understanding its nuts and bolts.mp4

44.3 MB

1. Decomposing the linear regression model - understanding its nuts and bolts.vtt

4.0 KB

2. Decomposition.html

0.2 KB

3. What is R-squared and how does it help us.vtt

6.1 KB

4. R-squared.html

0.2 KB

5. The ordinary least squares setting and its practical applications.mp4

21.0 MB

5. The ordinary least squares setting and its practical applications.vtt

2.7 KB

6. The ordinary least squares setting and its practical applications.html

0.2 KB

7. Studying regression tables.mp4

38.6 MB

7. Studying regression tables.vtt

5.5 KB

7.1 5.10. Regression tables_lesson.xlsx.xlsx

12.9 KB

8. Studying regression tables.html

0.2 KB

9. Regression tables. Exercise.html

0.1 KB

9.1 5.10. Regression tables_exercise.xlsx.xlsx

12.3 KB

9.1 5.10. Regression tables_exercise_solution.xlsx.xlsx

12.8 KB

9.2 5.10. Regression tables_exercise.xlsx.xlsx

12.3 KB

9.2 5.10. Regression tables_exercise_solution.xlsx.xlsx

12.8 KB

10. The multiple linear regression model.mp4

20.0 MB

10. The multiple linear regression model.vtt

3.3 KB

11. The multiple linear regression model.html

0.2 KB

12. The adjusted R-squared.mp4

45.8 MB

12. The adjusted R-squared.vtt

6.3 KB

12.1 5.12. Adjusted R-squared_lesson.xlsx.xlsx

18.7 KB

13. The adjusted R-squared.html

0.2 KB

14. What does the F-statistic show us and why do we need to understand it.mp4

14.6 MB

14. What does the F-statistic show us and why do we need to understand it.vtt

2.3 KB

/15. Assumptions for linear regression analysis/

1. OLS assumptions.mp4

20.3 MB

1. OLS assumptions.vtt

2.9 KB

2. OLS assumptions.html

0.2 KB

3. A1. Linearity.mp4

12.6 MB

3. A1. Linearity.vtt

2.1 KB

4. A1. Linearity.html

0.2 KB

5. A2. No endogeneity.mp4

34.0 MB

5. A2. No endogeneity.vtt

5.0 KB

6. A2. No endogeneity.html

0.2 KB

7. A3. Normality and homoscedasticity.mp4

41.9 MB

7. A3. Normality and homoscedasticity.vtt

6.3 KB

8. A3. Normality and homoscedasticity.html

0.2 KB

9. A4. No autocorrelation.mp4

27.1 MB

9. A4. No autocorrelation.vtt

4.3 KB

10. A4. No autocorrelation.html

0.2 KB

11. A5. No multicollinearity.mp4

27.9 MB

11. A5. No multicollinearity.vtt

4.4 KB

12. A5. No multicollinearity.html

0.2 KB

/16. Dealing with categorical data/

1. Dummy variables.mp4

40.0 MB

1. Dummy variables.vtt

5.9 KB

1.1 5.20. Dummy variables_lesson.xlsx.xlsx

25.8 KB

/18. Bonus lecture/

1. Bonus lecture Next steps.html

3.6 KB

 

Total files 237


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