| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/1. Introduction/1. What does the course cover.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.srt |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/2. Test for the mean. Population variance known. Exercise.html |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.srt |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/3.1 Online p-value calculator.pdf |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.srt |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/1. Introduction to regression analysis.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/3. Correlation and causation.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/3.1 Course notes_regression_analysis.pdf |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.srt |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/8. Correlation vs regression.html |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/13. The fundamentals of regression analysis/9. A geometrical representation of the linear regression model.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.srt |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/14. Subtleties of regression analysis/5. The ordinary least squares setting and its practical applications.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/15. Assumptions for linear regression analysis/1. OLS assumptions.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/16. Dealing with categorical data/1. Dummy variables.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/17. Practical example regression analysis/1. Practical example regression analysis.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/18. Bonus lecture/1. Bonus lecture Next steps.html |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/2. Sample or population data/1.2 Course notes_descriptive_statistics.pdf |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/2. Sample or population data/2. Population vs sample.html |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/3. The fundamentals of descriptive statistics/10. Numerical variables. Using a frequency distribution table. Exercise.html |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/3. The fundamentals of descriptive statistics/11. Histogram charts.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/3. The fundamentals of descriptive statistics/11.1 2.5. The Histogram_lesson.xlsx |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/3. The fundamentals of descriptive statistics/13. Histogram charts. Exercise.html |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/3. The fundamentals of descriptive statistics/13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/5. Practical example descriptive statistics/1. Practical example.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/6. Distributions/1. Introduction to inferential statistics.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/7. Estimators and estimates/11. Population variance unknown. T-score. Exercise.html |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4 |
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| [Tutorialsplanet.NET] Udemy - Statistics for Data Science and Business Analysis/8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 |
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