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[UdemyCourseDownloader] Statistics for Data Science and Business Analysis
magnet:?xt=urn:btih:cd4019836ee4425ea11e7057f70aadd09bfa69c2&dn=[UdemyCourseDownloader] Statistics for Data Science and Business Analysis
磁力链接详情
文件列表详情
cd4019836ee4425ea11e7057f70aadd09bfa69c2
infohash:
45
文件数量
1.88 GB
文件大小
2020-10-18 10:37
创建日期
2024-10-3 02:24
最后访问
相关分词
UdemyCourseDownloader
Statistics
for
Data
Science
and
Business
Analysis
17. Practical example regression analysis/1. Practical example regression analysis.mp4 129.31 MB
01. Introduction/1. What does the course cover.mp4 68.63 MB
02. Sample or population data/1. Understanding the difference between a population and a sample.mp4 58.05 MB
03. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 72.6 MB
03. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 54.38 MB
03. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4 38.48 MB
03. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4 25.84 MB
03. The fundamentals of descriptive statistics/11. Histogram charts.mp4 13.79 MB
03. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4 39.8 MB
04. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4 37.12 MB
04. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.mp4 19.41 MB
04. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 50.94 MB
04. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4 45.21 MB
04. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4 27.48 MB
04. Measures of central tendency, asymmetry, and variability/14. The correlation coefficient.mp4 29.41 MB
09. Practical example inferential statistics/1. Practical example inferential statistics.mp4 102.59 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 112.69 MB
10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp4 43.93 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!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 55.88 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 50.45 MB
11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4 29.97 MB
11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4 36.39 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/3. Correlation and causation.mp4 25.58 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
13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4 45.88 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/5. The ordinary least squares setting and its practical applications.mp4 20.05 MB
14. Subtleties of regression analysis/7. Studying regression tables.mp4 36.78 MB
14. Subtleties of regression analysis/10. The multiple linear regression model.mp4 19.1 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
15. Assumptions for linear regression analysis/1. OLS assumptions.mp4 19.39 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 32.44 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 25.89 MB
15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4 26.59 MB
16. Dealing with categorical data/1. Dummy variables.mp4 38.18 MB
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