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[GigaCourse.com] Udemy - Statistics for Data Science and Business Analysis
magnet:?xt=urn:btih:f33f133a6fa255518e620fdd008b45b1b38029a8&dn=[GigaCourse.com] Udemy - Statistics for Data Science and Business Analysis
磁力链接详情
Hash值:
f33f133a6fa255518e620fdd008b45b1b38029a8
点击数:
9
文件大小:
2.76 GB
文件数量:
64
创建日期:
2025-8-9 02:17
最后访问:
2025-8-11 02:15
访问标签:
GigaCourse
com
Udemy
-
Statistics
for
Data
Science
and
Business
Analysis
文件列表详情
1. Introduction/1. What does the course cover.mp4 68.63 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 92.16 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 82.54 MB
10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp4 43.94 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 54.3 MB
11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4 36.39 MB
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 55.87 MB
11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp4 40.26 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 50.44 MB
11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4 29.97 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 69.39 MB
13. The fundamentals of regression analysis/1. Introduction to regression analysis.mp4 19.41 MB
13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4 45.87 MB
13. The fundamentals of regression analysis/3. Correlation and causation.mp4 25.57 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 50.99 MB
13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.mp4 12.71 MB
13. The fundamentals of regression analysis/9. A geometrical representation of the linear regression model.mp4 4.91 MB
14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.mp4 42.22 MB
14. Subtleties of regression analysis/10. The multiple linear regression model.mp4 19.11 MB
14. Subtleties of regression analysis/12. The adjusted R-squared.mp4 43.71 MB
14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.mp4 13.9 MB
14. Subtleties of regression analysis/3. What is R-squared and how does it help us.mp4 36.45 MB
14. Subtleties of regression analysis/5. The ordinary least squares setting and its practical applications.mp4 20.05 MB
14. Subtleties of regression analysis/7. Studying regression tables.mp4 36.77 MB
15. Assumptions for linear regression analysis/1. OLS assumptions.mp4 19.39 MB
15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4 26.59 MB
15. Assumptions for linear regression analysis/3. A1. Linearity.mp4 12.06 MB
15. Assumptions for linear regression analysis/5. A2. No endogeneity.mp4 32.45 MB
15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.mp4 39.97 MB
15. Assumptions for linear regression analysis/9. A4. No autocorrelation.mp4 25.88 MB
16. Dealing with categorical data/1. Dummy variables.mp4 38.19 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 129.32 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 58.04 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 72.59 MB
3. The fundamentals of descriptive statistics/11. Histogram charts.mp4 13.79 MB
3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4 39.81 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 54.38 MB
3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4 36.66 MB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4 25.84 MB
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4 37.12 MB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4 27.48 MB
4. Measures of central tendency, asymmetry, and variability/13. The correlation coefficient.mp4 29.41 MB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.mp4 19.42 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 50.94 MB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4 45.21 MB
5. Practical example descriptive statistics/1. Practical example.mp4 160.47 MB
6. Distributions/1. Introduction to inferential statistics.mp4 15.47 MB
6. Distributions/11. Standard error.mp4 22.77 MB
6. Distributions/2. What is a distribution.mp4 61.62 MB
6. Distributions/4. The Normal distribution.mp4 49.87 MB
6. Distributions/6. The standard normal distribution.mp4 22.51 MB
6. Distributions/9. Understanding the central limit theorem.mp4 62.9 MB
7. Estimators and estimates/1. Working with estimators and estimates.mp4 47.84 MB
7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.mp4 32.19 MB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 47.22 MB
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4 49.94 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 78.22 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 57.12 MB
7. Estimators and estimates/8. Student's T distribution.mp4 35.41 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 70.5 MB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).mp4 28.75 MB
8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).mp4 26.81 MB
8. Confidence intervals advanced topics/7. Calculating confidence intervals for two means with independent samples (part 3).mp4 19.89 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 102.59 MB
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