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[FreeCourseLab com] Udemy - Statistics for Data Science and Business Analysis

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[FreeCourseLab com] Udemy - Statistics for Data Science and Business Analysis

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Name:[FreeCourseLab com] Udemy - Statistics for Data Science and Business Analysis

Infohash: FC2AF5EC0B1138700FB994541E29DFD33190CE88

Total Size: 2.81 GB

Seeds: 1

Leechers: 4

Stream: Watch Full Movie @ Movie4u

Last Updated: 2023-10-29 01:48:25 (Update Now)

Torrent added: 2019-07-22 08:00:16






Torrent Files List


1. Introduction (Size: 2.81 GB) (Files: 295)

 1. Introduction

  1. What does the course cover.mp4

68.64 MB

  1. What does the course cover.vtt

5.20 KB

  1.1 Statistics Glossary.xlsx.xlsx

20.26 KB

  2. Download all resources.html

0.70 KB

 10. Hypothesis testing Introduction

  1. The null and the alternative hypothesis.mp4

92.16 MB

  1. The null and the alternative hypothesis.vtt

6.23 KB

  1.1 Course notes_hypothesis_testing.pdf.pdf

648.20 KB

  2. Further reading on null and alternative hypotheses.html

2.29 KB

  3. Null vs alternative.html

0.15 KB

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

112.69 MB

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

8.12 KB

  4.1 Course notes_hypothesis_testing.pdf.pdf

648.20 KB

  5. Rejection region and significance level.html

0.15 KB

  6. Type I error vs Type II error.mp4

43.94 MB

  6. Type I error vs Type II error.vtt

5.06 KB

  7. Type I error vs type II error.html

0.15 KB

 11. Hypothesis testing Let's start testing!

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

54.30 MB

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

7.10 KB

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

10.96 KB

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

0.08 KB

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

10.77 KB

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

11.25 KB

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

36.39 MB

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

4.70 KB

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

9.31 KB

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

0.15 KB

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

0.08 KB

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

10.54 KB

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

11.39 KB

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

0.08 KB

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

11.03 KB

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

11.22 KB

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

55.88 MB

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

4.74 KB

  3.1 Online p-value calculator.pdf.pdf

1.15 MB

  4. p-value.html

0.15 KB

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

40.26 MB

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

5.32 KB

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

14.54 KB

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

0.08 KB

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

12.63 KB

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

11.34 KB

  7. Test for the mean. Dependent samples.mp4

50.45 MB

  7. Test for the mean. Dependent samples.vtt

5.98 KB

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

9.79 KB

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

0.08 KB

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

12.80 KB

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

14.40 KB

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

29.97 MB

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

4.97 KB

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

9.63 KB

 12. Practical example hypothesis testing

  1. Practical example hypothesis testing.mp4

69.38 MB

  1. Practical example hypothesis testing.vtt

7.62 KB

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

51.71 KB

  2. Practical example hypothesis testing.html

0.08 KB

  2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx

43.38 KB

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

44.04 KB

 13. The fundamentals of regression analysis

  1. Introduction to regression analysis.mp4

19.40 MB

  1. Introduction to regression analysis.vtt

1.45 KB

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

0.15 KB

  11. A practical example - Reinforced learning.mp4

45.88 MB

  11. A practical example - Reinforced learning.vtt

6.89 KB

  11.1 5.6. Example_lesson.xlsx.xlsx

23.54 KB

  2. Introduction.html

0.15 KB

  3. Correlation and causation.mp4

25.58 MB

  3. Correlation and causation.vtt

5.16 KB

  3.1 5.2. Correlation and causation_lesson.xlsx.xlsx

10.62 KB

  4. Correlation and causation.html

0.15 KB

  5. The linear regression model made easy.mp4

50.99 MB

  5. The linear regression model made easy.vtt

6.45 KB

  6. The linear regression model.html

0.15 KB

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

12.72 MB

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

1.82 KB

  8. Correlation vs regression.html

0.15 KB

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

4.92 MB

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

1.52 KB

 14. Subtleties of regression analysis

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

42.22 MB

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

3.87 KB

  10. The multiple linear regression model.mp4

19.11 MB

  10. The multiple linear regression model.vtt

3.20 KB

  11. The multiple linear regression model.html

0.15 KB

  12. The adjusted R-squared.mp4

43.71 MB

  12. The adjusted R-squared.vtt

6.12 KB

  12.1 5.12. Adjusted R-squared_lesson.xlsx.xlsx

18.23 KB

  13. The adjusted R-squared.html

0.15 KB

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

13.91 MB

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

2.29 KB

  2. Decomposition.html

0.15 KB

  3. What is R-squared and how does it help us.mp4

36.45 MB

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

5.99 KB

  4. R-squared.html

0.15 KB

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

20.05 MB

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

2.65 KB

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

0.15 KB

  7. Studying regression tables.mp4

36.78 MB

  7. Studying regression tables.vtt

5.39 KB

  7.1 5.10. Regression tables_lesson.xlsx.xlsx

12.61 KB

  8. Studying regression tables.html

0.15 KB

  9. Regression tables. Exercise.html

0.08 KB

  9.1 5.10. Regression tables_exercise_solution.xlsx.xlsx

12.51 KB

  9.2 5.10. Regression tables_exercise.xlsx.xlsx

12.04 KB

 15. Assumptions for linear regression analysis

  1. OLS assumptions.mp4

19.39 MB

  1. OLS assumptions.vtt

2.84 KB

  10. A4. No autocorrelation.html

0.15 KB

  11. A5. No multicollinearity.mp4

26.59 MB

  11. A5. No multicollinearity.vtt

4.30 KB

  12. A5. No multicollinearity.html

0.15 KB

  2. OLS assumptions.html

0.15 KB

  3. A1. Linearity.mp4

12.06 MB

  3. A1. Linearity.vtt

2.06 KB

  4. A1. Linearity.html

0.15 KB

  5. A2. No endogeneity.mp4

32.45 MB

  5. A2. No endogeneity.vtt

4.84 KB

  6. A2. No endogeneity.html

0.15 KB

  7. A3. Normality and homoscedasticity.mp4

39.97 MB

  7. A3. Normality and homoscedasticity.vtt

6.11 KB

  8. A3. Normality and homoscedasticity.html

0.15 KB

  9. A4. No autocorrelation.mp4

25.89 MB

  9. A4. No autocorrelation.vtt

4.19 KB

 16. Dealing with categorical data

  1. Dummy variables.mp4

38.19 MB

  1. Dummy variables.vtt

5.76 KB

  1.1 5.20. Dummy variables_lesson.xlsx.xlsx

25.19 KB

 17. Practical example regression analysis

  1. Practical example regression analysis.mp4

129.32 MB

  1. Practical example regression analysis.vtt

15.98 KB

  1.1 5.21. Regression_Analysis_practical_example.xlsx.xlsx

1.44 MB

 18. Bonus lecture

  1. Bonus lecture Next steps.html

3.52 KB

 2. Sample or population data

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

58.05 MB

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

4.94 KB

  1.1 Course notes_descriptive_statistics.pdf.pdf

482.21 KB

  1.2 Glossary.xlsx.xlsx

19.97 KB

  2. Population vs sample.html

0.15 KB

 3. The fundamentals of descriptive statistics

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

72.60 MB

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

5.48 KB

  1.1 Course notes_descriptive_statistics.pdf.pdf

482.21 KB

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

0.08 KB

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

11.75 KB

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

12.86 KB

  11. Histogram charts.mp4

13.79 MB

  11. Histogram charts.vtt

2.94 KB

  11.1 2.5. The Histogram_lesson.xlsx.xlsx

18.63 KB

  12. Histogram charts.html

0.15 KB

  13. Histogram charts. Exercise.html

0.08 KB

  13.1 2.5. The Histogram_exercise.xlsx.xlsx

15.50 KB

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

17.10 KB

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

289.12 KB

  14. Cross tables and scatter plots.mp4

39.81 MB

  14. Cross tables and scatter plots.vtt

6.21 KB

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

26.12 KB

  15. Cross Tables and Scatter Plots.html

0.15 KB

  16. Cross tables and scatter plots. Exercise.html

0.08 KB

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

40.44 KB

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

16.28 KB

  2. Types of data.html

0.15 KB

  3. Levels of measurement.mp4

54.38 MB

  3. Levels of measurement.vtt

4.32 KB

  4. Levels of measurement.html

0.15 KB

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

38.48 MB

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

6.05 KB

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

30.77 KB

  6. Categorical variables. Visualization Techniques.html

0.15 KB

  7. Categorical variables. Visualization techniques. Exercise.html

0.08 KB

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

15.24 KB

  7.2 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx

41.11 KB

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

289.12 KB

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

25.84 MB

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

4.03 KB

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

11.44 KB

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

0.15 KB

 4. Measures of central tendency, asymmetry, and variability

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

37.12 MB

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

5.27 KB

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

10.49 KB

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

0.08 KB

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

11.30 KB

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

12.37 KB

  11. Calculating and understanding covariance.mp4

27.47 MB

  11. Calculating and understanding covariance.vtt

4.51 KB

  11.1 2.11. Covariance_lesson.xlsx.xlsx

24.92 KB

  12. Calculating and understanding covariance.html

0.15 KB

  13. Covariance. Exercise.html

0.08 KB

  13.1 2.11. Covariance_exercise.xlsx.xlsx

20.23 KB

  13.2 2.11. Covariance_exercise_solution.xlsx.xlsx

29.51 KB

  14. The correlation coefficient.mp4

29.41 MB

  14. The correlation coefficient.vtt

4.35 KB

  14.1 2.12. Correlation_lesson.xlsx.xlsx

24.99 KB

  15. Correlation.html

0.15 KB

  16. Correlation coefficient.html

0.08 KB

  16.1 2.12. Correlation_exercise.xlsx.xlsx

29.30 KB

  16.2 2.12. Correlation_exercise_solution.xlsx.xlsx

29.48 KB

  2. Mean, median and mode. Exercise.html

0.08 KB

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

10.87 KB

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

11.35 KB

  3. Measuring skewness.mp4

19.42 MB

  3. Measuring skewness.vtt

3.38 KB

  3.1 2.8. Skewness_lesson.xlsx.xlsx

34.63 KB

  4. Skewness.html

0.15 KB

  5. Skewness. Exercise.html

0.08 KB

  5.1 2.8. Skewness_exercise.xlsx.xlsx

9.49 KB

  5.2 2.8. Skewness_exercise_solution.xlsx.xlsx

19.78 KB

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

50.93 MB

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

7.00 KB

  6.1 2.9. Variance_lesson.xlsx.xlsx

10.08 KB

  7. Variance. Exercise.html

0.08 KB

  7.1 2.9. Variance_exercise.xlsx.xlsx

10.83 KB

  7.2 2.9. Variance_exercise_solution.xlsx.xlsx

11.05 KB

  8. Standard deviation and coefficient of variation.mp4

45.21 MB

  8. Standard deviation and coefficient of variation.vtt

5.68 KB

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

10.97 KB

  9. Standard deviation.html

0.15 KB

 5. Practical example descriptive statistics

  1. Practical example.mp4

160.47 MB

  1. Practical example.vtt

18.42 KB

  1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx

146.51 KB

  2. Practical example descriptive statistics.html

0.08 KB

  2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx

146.22 KB

  2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx

120.28 KB

 6. Distributions

  1. Introduction to inferential statistics.mp4

15.48 MB

  1. Introduction to inferential statistics.vtt

1.55 KB

  1.1 Course notes_inferential statistics.pdf.pdf

382.32 KB

  10. The central limit theorem.html

0.15 KB

  11. Standard error.mp4

22.77 MB

  11. Standard error.vtt

1.86 KB

  12. Standard error.html

0.15 KB

  2. What is a distribution.mp4

61.62 MB

  2. What is a distribution.vtt

5.40 KB

  2.1 3.2. What is a distribution_lesson.xlsx.xlsx

19.46 KB

  2.2 Course notes_inferential statistics.pdf.pdf

382.32 KB

  3. What is a distribution.html

0.15 KB

  4. The Normal distribution.mp4

49.86 MB

  4. The Normal distribution.vtt

4.70 KB

  5. The Normal distribution.html

0.15 KB

  6. The standard normal distribution.mp4

22.50 MB

  6. The standard normal distribution.vtt

3.65 KB

  6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx

10.38 KB

  7. The standard normal distribution.html

0.15 KB

  8. Standard Normal Distribution. Exercise.html

0.08 KB

  8.1 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx

24.04 KB

  8.2 3.4.Standard-normal-distribution-exercise.xlsx.xlsx

11.99 KB

  9. Understanding the central limit theorem.mp4

62.90 MB

  9. Understanding the central limit theorem.vtt

5.19 KB

 7. Estimators and estimates

  1. Working with estimators and estimates.mp4

47.84 MB

  1. Working with estimators and estimates.vtt

3.56 KB

  10. Calculating confidence intervals within a population with an unknown variance.mp4

32.19 MB

  10. Calculating confidence intervals within a population with an unknown variance.vtt

4.85 KB

  10.1 3.11. The t-table.xlsx.xlsx

15.85 KB

  10.2 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx

10.78 KB

  11. Population variance unknown. T-score. Exercise.html

0.08 KB

  11.1 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx

11.10 KB

  11.2 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx

10.62 KB

  11.3 3.11. The t-table.xlsx.xlsx

15.85 KB

  12. What is a margin of error and why is it important in Statistics.mp4

59.20 MB

  12. What is a margin of error and why is it important in Statistics.vtt

5.65 KB

  13. Margin of error.html

0.15 KB

  2. Estimators and estimates.html

0.15 KB

  3. Confidence intervals - an invaluable tool for decision making.mp4

49.93 MB

  3. Confidence intervals - an invaluable tool for decision making.vtt

2.88 KB

  4. Confidence intervals.html

0.15 KB

  5. Calculating confidence intervals within a population with a known variance.mp4

78.22 MB

  5. Calculating confidence intervals within a population with a known variance.vtt

8.54 KB

  5.1 3.9. Population variance known, z-score_lesson.xlsx.xlsx

11.21 KB

  5.2 3.9.The-z-table.xlsx.xlsx

25.58 KB

  6. Confidence intervals. Population variance known. Exercise.html

0.08 KB

  6.1 3.9.The-z-table.xlsx.xlsx

25.58 KB

  6.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx

10.83 KB

  6.3 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx

11.16 KB

  7. Confidence interval clarifications.mp4

57.11 MB

  7. Confidence interval clarifications.vtt

5.18 KB

  8. Student's T distribution.mp4

35.41 MB

  8. Student's T distribution.vtt

4.01 KB

  9. Student's T distribution.html

0.15 KB

 8. Confidence intervals advanced topics

  1. Calculating confidence intervals for two means with dependent samples.mp4

70.50 MB

  1. Calculating confidence intervals for two means with dependent samples.vtt

7.44 KB

  1.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx

10.47 KB

  2. Confidence intervals. Two means. Dependent samples. Exercise.html

0.08 KB

  2.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx

13.74 KB

  2.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx

14.24 KB

  3. Calculating confidence intervals for two means with independent samples (part 1).mp4

28.76 MB

  3. Calculating confidence intervals for two means with independent samples (part 1).vtt

5.56 KB

  3.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx

9.83 KB

  4. Confidence intervals. Two means. Independent samples (Part 1). Exercise.html

0.08 KB

  4.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx

9.83 KB

  4.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx

10.12 KB

  5. Calculating confidence intervals for two means with independent samples (part 2).mp4

26.82 MB

  5. Calculating confidence intervals for two means with independent samples (part 2).vtt

4.13 KB

  5.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx

9.52 KB

  6. Confidence intervals. Two means. Independent samples (Part 2). Exercise.html

0.08 KB

  6.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx

9.79 KB

  6.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx

9.17 KB

  7. Calculating confidence intervals for two means with independent samples (part 3).mp4

19.88 MB

  7. Calculating confidence intervals for two means with independent samples (part 3).vtt

1.83 KB

 9. Practical example inferential statistics

  1. Practical example inferential statistics.mp4

102.59 MB

  1. Practical example inferential statistics.vtt

12.46 KB

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

1.74 MB

  2. Practical example inferential statistics.html

0.08 KB

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

1.73 MB

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