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


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File Size:   2.88 GB
Creat Time:   2024-05-21
Active Degree:   18
Last Active:   2024-08-20
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Tags:    FreeCourseLab com Udemy - Statistics for Data Science and Business Analysis
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File List

  1. 5. Practical example descriptive statistics/1. Practical example.mp4 164.32 MB
  2. 17. Practical example regression analysis/1. Practical example regression analysis.mp4 132.42 MB
  3. 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 115.39 MB
  4. 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 105.06 MB
  5. 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 94.37 MB
  6. 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 80.10 MB
  7. 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 74.34 MB
  8. 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 72.20 MB
  9. 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 71.04 MB
  10. 1. Introduction/1. What does the course cover.mp4 70.28 MB
  11. 6. Distributions/9. Understanding the central limit theorem.mp4 64.40 MB
  12. 6. Distributions/2. What is a distribution.mp4 63.09 MB
  13. 7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 60.62 MB
  14. 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 59.45 MB
  15. 7. Estimators and estimates/7. Confidence interval clarifications.mp4 58.48 MB
  16. 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 57.22 MB
  17. 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 55.68 MB
  18. 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 55.60 MB
  19. 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 52.22 MB
  20. 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 52.16 MB
  21. 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 51.66 MB
  22. 7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4 51.13 MB
  23. 6. Distributions/4. The Normal distribution.mp4 51.06 MB
  24. 7. Estimators and estimates/1. Working with estimators and estimates.mp4 48.98 MB
  25. 13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4 46.98 MB
  26. 4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4 46.30 MB
  27. 10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp4 45.00 MB
  28. 14. Subtleties of regression analysis/12. The adjusted R-squared.mp4 44.76 MB
  29. 14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 43.23 MB
  30. 11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp4 41.22 MB
  31. 15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.mp4 40.93 MB
  32. 3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4 40.77 MB
  33. 3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4 39.41 MB
  34. 16. Dealing with categorical data/1. Dummy variables.mp4 39.10 MB
  35. 4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4 38.01 MB
  36. 14. Subtleties of regression analysis/7. Studying regression tables.mp4 37.67 MB
  37. 14. Subtleties of regression analysis/3. What is R-squared and how does it help us.mp4 37.33 MB
  38. 11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4 37.27 MB
  39. 7. Estimators and estimates/8. Student's T distribution.mp4 36.26 MB
  40. 15. Assumptions for linear regression analysis/5. A2. No endogeneity.mp4 33.23 MB
  41. 7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.mp4 32.96 MB
  42. 11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4 30.69 MB
  43. 4. Measures of central tendency, asymmetry, and variability/14. The correlation coefficient.mp4 30.11 MB
  44. 8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).mp4 29.45 MB
  45. 4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4 28.12 MB
  46. 8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).mp4 27.46 MB
  47. 15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4 27.22 MB
  48. 15. Assumptions for linear regression analysis/9. A4. No autocorrelation.mp4 26.51 MB
  49. 3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4 26.46 MB
  50. 13. The fundamentals of regression analysis/3. Correlation and causation.mp4 26.20 MB

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