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Udemy Statistics for Data Science and Business Analysis FreeAllCourse

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Files:

1. What does the course cover.mp4 68.6 MB
1. What does the course cover.srt 5.9 KB
1.1 Statistics Glossary.xlsx.xlsx 20.3 KB
2. Download all resources.html 716 bytes
1. The null and the alternative hypothesis.mp4 92.1 MB
1. The null and the alternative hypothesis.srt 7.0 KB
1.1 Course notes_hypothesis_testing.pdf.pdf 656.4 KB
2. Further reading on null and alternative hypotheses.html 2.3 KB
3. Null vs alternative.html 159 bytes
4. Establishing a rejection region and a significance level.mp4 82.5 MB
4. Establishing a rejection region and a significance level.srt 9.4 KB
4.1 Course notes_hypothesis_testing.pdf.pdf 656.4 KB
5. Rejection region and significance level.html 159 bytes
6. Type I error vs Type II error.mp4 43.9 MB
6. Type I error vs Type II error.srt 5.4 KB
7. Type I error vs type II error.html 159 bytes
1. Test for the mean. Population variance known.mp4 54.3 MB
1. Test for the mean. Population variance known.srt 7.5 KB
1.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx 11.0 KB
10. Test for the mean. Independent samples (Part 1).html 82 bytes
10.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx 11.3 KB
10.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx 10.8 KB
11. Test for the mean. Independent samples (Part 2).mp4 36.4 MB
11. Test for the mean. Independent samples (Part 2).srt 5.3 KB
11.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx 9.3 KB
12. Test for the mean. Independent samples (Part 2).html 160 bytes
13. Test for the mean. Independent samples (Part 2). Exercise.html 82 bytes
13.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx 11.4 KB
13.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx 10.5 KB
2. Test for the mean. Population variance known. Exercise.html 86 bytes
2.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx 11.2 KB
2.2 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx 11.0 KB
3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 55.9 MB
3. What is the p-value and why is it one of the most useful tools for statisticians.srt 55.9 MB
3.1 Online p-value calculator.pdf.pdf 1.2 MB
4. p-value.html 159 bytes
5. Test for the mean. Population variance unknown.mp4 40.2 MB
5. Test for the mean. Population variance unknown.srt 5.6 KB
5.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx 14.5 KB
6. Test for the mean. Population variance unknown. Exercise.html 86 bytes
6.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx 11.3 KB
6.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx 12.6 KB
7. Test for the mean. Dependent samples.mp4 50.4 MB
7. Test for the mean. Dependent samples.srt 6.3 KB
7.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx 9.8 KB
8. Test for the mean. Dependent samples. Exercise.html 86 bytes
8.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx 14.4 KB
8.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx 12.8 KB
9. Test for the mean. Independent samples (Part 1).mp4 30.0 MB
9. Test for the mean. Independent samples (Part 1).srt 5.3 KB
9.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx 9.6 KB
1. Practical example hypothesis testing.mp4 69.4 MB
1. Practical example hypothesis testing.srt 8.1 KB
1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx 51.7 KB
2. Practical example hypothesis testing.html 86 bytes
2.1 4.10. Hypothesis testing section_practical example_exercise.xlsx.xlsx 43.4 KB
2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx 44.0 KB
1. Introduction to regression analysis.mp4 19.4 MB
1. Introduction to regression analysis.srt 1.6 KB
1.1 Course notes_regression_analysis.pdf.pdf 270.1 KB
10. A geometrical representation of the linear regression model.html 160 bytes
11. A practical example - Reinforced learning.mp4 45.9 MB
11. A practical example - Reinforced learning.srt 7.8 KB
11.1 5.6. Example_lesson.xlsx.xlsx 23.5 KB
2. Introduction.html 159 bytes
3. Correlation and causation.mp4 25.6 MB
3. Correlation and causation.srt 5.9 KB
3.1 Course notes_regression_analysis.pdf.pdf 270.1 KB
3.2 5.2. Correlation and causation_lesson.xlsx.xlsx 10.6 KB
4. Correlation and causation.html 160 bytes
5. The linear regression model made easy.mp4 51.0 MB
5. The linear regression model made easy.srt 7.4 KB
6. The linear regression model.html 159 bytes
7. What is the difference between correlation and regression.mp4 12.7 MB
7. What is the difference between correlation and regression.srt 2.1 KB
8. Correlation vs regression.html 159 bytes
9. A geometrical representation of the linear regression model.mp4 4.9 MB
9. A geometrical representation of the linear regression model.srt 1.7 KB
1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 42.2 MB
1. Decomposing the linear regression model - understanding its nuts and bolts.srt 4.4 KB
10. The multiple linear regression model.mp4 19.1 MB
10. The multiple linear regression model.srt 3.6 KB
11. The multiple linear regression model.html 160 bytes
12. The adjusted R-squared.mp4 43.7 MB
12. The adjusted R-squared.srt 6.9 KB
12.1 5.12. Adjusted R-squared_lesson.xlsx.xlsx 18.2 KB
13. The adjusted R-squared.html 159 bytes
14. What does the F-statistic show us and why do we need to understand it.mp4 13.9 MB
14. What does the F-statistic show us and why do we need to understand it.srt 2.6 KB
2. Decomposition.html 159 bytes
3. What is R-squared and how does it help us.mp4 36.4 MB
3. What is R-squared and how does it help us.srt 6.7 KB
4. R-squared.html 159 bytes
5. The ordinary least squares setting and its practical applications.mp4 20.0 MB
5. The ordinary least squares setting and its practical applications.srt 3.0 KB
6. The ordinary least squares setting and its practical applications.html 160 bytes
7. Studying regression tables.mp4 36.8 MB
7. Studying regression tables.srt 6.2 KB
7.1 5.10.Regression-tables-lesson.xlsx.xlsx 12.5 KB
8. Studying regression tables.html 160 bytes
9. Regression tables. Exercise.html 86 bytes
9.1 5.10. Regression tables_exercise_solution.xlsx.xlsx 12.5 KB
9.2 5.10. Regression tables_exercise.xlsx.xlsx 12.0 KB
1. OLS assumptions.mp4 19.4 MB
1. OLS assumptions.srt 3.2 KB
10. A4. No autocorrelation.html 159 bytes
11. A5. No multicollinearity.mp4 26.6 MB
11. A5. No multicollinearity.srt 4.9 KB
12. A5. No multicollinearity.html 159 bytes
2. OLS assumptions.html 159 bytes
3. A1. Linearity.mp4 12.1 MB
3. A1. Linearity.srt 2.4 KB
4. A1. Linearity.html 160 bytes
5. A2. No endogeneity.mp4 32.4 MB
5. A2. No endogeneity.srt 5.5 KB
6. A2. No endogeneity.html 159 bytes
7. A3. Normality and homoscedasticity.mp4 40.0 MB
7. A3. Normality and homoscedasticity.srt 7.0 KB
8. A3. Normality and homoscedasticity.html 160 bytes
9. A4. No autocorrelation.mp4 25.9 MB
9. A4. No autocorrelation.srt 4.8 KB
1. Dummy variables.mp4 38.2 MB
1. Dummy variables.srt 6.5 KB
1.1 5.20. Dummy variables_lesson.xlsx.xlsx 25.2 KB
1. Practical example regression analysis.mp4 129.3 MB
1. Practical example regression analysis.srt 18.2 KB
1.1 5.21. Regression_Analysis_practical_example.xlsx.xlsx 1.4 MB
1. Bonus lecture Next steps.html 3.5 KB
1. Understanding the difference between a population and a sample.mp4 58.0 MB
1. Understanding the difference between a population and a sample.srt 5.6 KB
1.1 Glossary.xlsx.xlsx 20.0 KB
1.2 Course notes_descriptive_statistics.pdf.pdf 482.2 KB
2. Population vs sample.html 159 bytes
1. The various types of data we can work with.mp4 72.6 MB
1. The various types of data we can work with.srt 6.4 KB
1.1 Course notes_descriptive_statistics.pdf.pdf 482.2 KB
10. Numerical variables. Using a frequency distribution table. Exercise.html 81 bytes
10.1 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx 11.7 KB
10.1 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx.xlsx 13.3 KB
10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx 11.7 KB
10.2 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx.xlsx 13.3 KB
11. Histogram charts.mp4 13.8 MB
11. Histogram charts.srt 3.1 KB
11.1 2.5. The Histogram_lesson.xlsx.xlsx 18.6 KB
12. Histogram charts.html 160 bytes
13. Histogram charts. Exercise.html 81 bytes
13.1 2.5. The Histogram_exercise.xlsx.xlsx 15.5 KB
13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289.1 KB
13.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17.1 KB
13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289.1 KB
13.3 2.5. The Histogram_exercise.xlsx.xlsx 15.5 KB
13.3 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17.1 KB
14. Cross tables and scatter plots.mp4 39.8 MB
14. Cross tables and scatter plots.srt 6.6 KB
14.1 2.6. Cross table and scatter plot.xlsx.xlsx 26.1 KB
15. Cross Tables and Scatter Plots.html 160 bytes
16. Cross tables and scatter plots. Exercise.html 81 bytes
16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16.3 KB
16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 40.4 KB
2. Types of data.html 159 bytes
3. Levels of measurement.mp4 54.4 MB
3. Levels of measurement.srt 4.6 KB
4. Levels of measurement.html 159 bytes
5. Categorical variables. Visualization techniques for categorical variables.mp4 38.5 MB
5. Categorical variables. Visualization techniques for categorical variables.srt 6.4 KB
5.1 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx.xlsx 30.8 KB
6. Categorical variables. Visualization Techniques.html 160 bytes
7. Categorical variables. Visualization techniques. Exercise.html 81 bytes
7.1 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx 15.2 KB
7.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx 41.1 KB
7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx 15.2 KB
7.2 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx 41.1 KB
7.3 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289.1 KB
8. Numerical variables. Using a frequency distribution table.mp4 25.8 MB
8. Numerical variables. Using a frequency distribution table.srt 4.3 KB
8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx 11.4 KB
9. Numerical variables. Using a frequency distribution table.html 160 bytes
1. The main measures of central tendency mean, median and mode.mp4 37.1 MB
1. The main measures of central tendency mean, median and mode.srt 5.6 KB
1.1 2.7. Mean, median and mode_lesson.xlsx.xlsx 10.5 KB
10. Standard deviation and coefficient of variation. Exercise.html 81 bytes
10.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx.xlsx 12.6 KB
10.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx.xlsx 11.6 KB
11. Calculating and understanding covariance.mp4 27.5 MB
11. Calculating and understanding covariance.srt 27.5 MB
11.1 2.11. Covariance_lesson.xlsx.xlsx 24.9 KB
12. Covariance. Exercise.html 81 bytes
12.1 2.11. Covariance_exercise_solution.xlsx.xlsx 29.5 KB
12.2 2.11. Covariance_exercise.xlsx.xlsx 20.2 KB
13. The correlation coefficient.mp4 29.4 MB
13. The correlation coefficient.srt 4.6 KB
13.1 2.12. Correlation_lesson.xlsx.xlsx 25.0 KB
14. Correlation.html 160 bytes
15. Correlation coefficient.html 81 bytes
15.1 2.12. Correlation_exercise.xlsx.xlsx 29.3 KB
15.2 2.12. Correlation_exercise_solution.xlsx.xlsx 29.5 KB
2. Mean, median and mode. Exercise.html 81 bytes
2.1 2.7. Mean, median and mode_exercise.xlsx.xlsx 10.9 KB
2.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx 11.4 KB
3. Measuring skewness.mp4 19.4 MB
3. Measuring skewness.srt 3.6 KB
3.1 2.8. Skewness_lesson.xlsx.xlsx 34.6 KB
4. Skewness.html 160 bytes
5. Skewness. Exercise.html 81 bytes
5.1 2.8. Skewness_exercise.xlsx.xlsx 9.5 KB
5.2 2.8. Skewness_exercise_solution.xlsx.xlsx 19.8 KB
6. Measuring how data is spread out calculating variance.mp4 50.9 MB
6. Measuring how data is spread out calculating variance.srt 7.4 KB
6.1 2.9. Variance_lesson.xlsx.xlsx 10.1 KB
7. Variance. Exercise.html 81 bytes
7.1 2.9. Variance_exercise.xlsx.xlsx 10.8 KB
7.2 2.9. Variance_exercise_solution.xlsx.xlsx 11.1 KB
8. Standard deviation and coefficient of variation.mp4 45.2 MB
8. Standard deviation and coefficient of variation.srt 6.0 KB
8.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx 11.0 KB
9. Standard deviation.html 160 bytes
1. Practical example.mp4 160.5 MB
1. Practical example.srt 19.7 KB
1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx 146.5 KB
2. Practical example descriptive statistics.html 81 bytes
2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx 146.4 KB
2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx 120.3 KB
1. Introduction to inferential statistics.mp4 15.5 MB
1. Introduction to inferential statistics.srt 1.6 KB
1.1 Course notes_inferential statistics.pdf.pdf 382.3 KB
10. The central limit theorem.html 159 bytes
11. Standard error.mp4 22.8 MB
11. Standard error.srt 1.9 KB
12. Standard error.html 160 bytes
2. What is a distribution.mp4 61.6 MB
2. What is a distribution.srt 5.8 KB
2.1 3.2. What is a distribution_lesson.xlsx.xlsx 19.5 KB
2.2 Course notes_inferential statistics.pdf.pdf 382.3 KB
3. What is a distribution.html 159 bytes
4. The Normal distribution.mp4 49.9 MB
4. The Normal distribution.srt 5.0 KB
5. The Normal distribution.html 159 bytes
6. The standard normal distribution.mp4 22.5 MB
6. The standard normal distribution.srt 3.9 KB
6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx 10.4 KB
7. The standard normal distribution.html 160 bytes
8. Standard Normal Distribution. Exercise.html 81 bytes
8.1 3.4.Standard-normal-distribution-exercise.xlsx.xlsx 12.0 KB
8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx 24.0 KB
9. Understanding the central limit theorem.mp4 62.9 MB
9. Understanding the central limit theorem.srt 5.5 KB
1. Working with estimators and estimates.mp4 47.8 MB
1. Working with estimators and estimates.srt 3.8 KB
10. Calculating confidence intervals within a population with an unknown variance.mp4 32.2 MB
10. Calculating confidence intervals within a population with an unknown variance.srt 5.1 KB
10.1 3.11. The t-table.xlsx.xlsx 15.8 KB
10.2 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx 10.8 KB
11. Population variance unknown. T-score. Exercise.html 81 bytes
11.1 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx 10.6 KB
11.2 3.11. The t-table.xlsx.xlsx 15.8 KB
11.3 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx 11.1 KB
12. What is a margin of error and why is it important in Statistics.mp4 47.2 MB
12. What is a margin of error and why is it important in Statistics.srt 6.7 KB
13. Margin of error.html 159 bytes
2. Estimators and estimates.html 159 bytes
3. Confidence intervals - an invaluable tool for decision making.mp4 49.9 MB
3. Confidence intervals - an invaluable tool for decision making.srt 3.0 KB
4. Confidence intervals.html 159 bytes
5. Calculating confidence intervals within a population with a known variance.mp4 78.2 MB
5. Calculating confidence intervals within a population with a known variance.srt 9.1 KB
5.1 3.9.The-z-table.xlsx.xlsx 25.6 KB
5.2 3.9. Population variance known, z-score_lesson.xlsx.xlsx 11.2 KB
6. Confidence intervals. Population variance known. Exercise.html 81 bytes
6.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx 11.2 KB
6.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx 10.8 KB
6.3 3.9.The-z-table.xlsx.xlsx 25.6 KB
7. Confidence interval clarifications.mp4 57.1 MB
7. Confidence interval clarifications.srt 5.5 KB
8. Student's T distribution.mp4 35.4 MB
8. Student's T distribution.srt 4.2 KB
9. Student's T distribution.html 159 bytes
1. Calculating confidence intervals for two means with dependent samples.mp4 70.5 MB
1. Calculating confidence intervals for two means with dependent samples.srt 7.9 KB
1.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx 10.5 KB
2. Confidence intervals. Two means. Dependent samples. Exercise.html 81 bytes
2.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx 13.7 KB
2.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx 14.2 KB
3. Calculating confidence intervals for two means with independent samples (part 1).mp4 28.8 MB
3. Calculating confidence intervals for two means with independent samples (part 1).srt 5.9 KB
3.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx 9.8 KB
4. Confidence intervals. Two means. Independent samples (Part 1). Exercise.html 81 bytes
4.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx 9.8 KB
4.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx 10.1 KB
5. Calculating confidence intervals for two means with independent samples (part 2).mp4 26.8 MB
5. Calculating confidence intervals for two means with independent samples (part 2).srt 4.4 KB
5.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx 9.5 KB
6. Confidence intervals. Two means. Independent samples (Part 2). Exercise.html 81 bytes
6.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx 9.2 KB
6.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx 9.8 KB
7. Calculating confidence intervals for two means with independent samples (part 3).mp4 19.9 MB
7. Calculating confidence intervals for two means with independent samples (part 3).srt 1.9 KB
1. Practical example inferential statistics.mp4 102.6 MB
1. Practical example inferential statistics.srt 13.3 KB
1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx 1.7 MB
2. Practical example inferential statistics.html 81 bytes
2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx 1.8 MB
2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx 1.7 MB
Read Me.txt 1.0 KB
[FreeAllCourse.Com].url 52 bytes

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