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[FreeCourseLab.com] Udemy - Statistics for Data Science and Business Analysis
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2021-2-11 13:36
2024-8-22 23:27
195
2.8 GB
64
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FreeCourseLab
com
Udemy
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Statistics
for
Data
Science
and
Business
Analysis
文件列表
1. Introduction/1. What does the course cover.mp4
68.64MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4
92.16MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4
112.69MB
10. Hypothesis testing Introduction/6. Type I error vs Type II error.mp4
43.94MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4
54.3MB
11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4
36.39MB
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
55.88MB
11. Hypothesis testing Let's start testing!/5. Test for the mean. Population variance unknown.mp4
40.26MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4
50.45MB
11. Hypothesis testing Let's start testing!/9. Test for the mean. Independent samples (Part 1).mp4
29.97MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4
69.38MB
13. The fundamentals of regression analysis/1. Introduction to regression analysis.mp4
19.4MB
13. The fundamentals of regression analysis/11. A practical example - Reinforced learning.mp4
45.88MB
13. The fundamentals of regression analysis/3. Correlation and causation.mp4
25.58MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4
50.99MB
13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.mp4
12.72MB
13. The fundamentals of regression analysis/9. A geometrical representation of the linear regression model.mp4
4.92MB
14. Subtleties of regression analysis/1. Decomposing the linear regression model - understanding its nuts and bolts.mp4
42.22MB
14. Subtleties of regression analysis/10. The multiple linear regression model.mp4
19.11MB
14. Subtleties of regression analysis/12. The adjusted R-squared.mp4
43.71MB
14. Subtleties of regression analysis/14. What does the F-statistic show us and why do we need to understand it.mp4
13.91MB
14. Subtleties of regression analysis/3. What is R-squared and how does it help us.mp4
36.45MB
14. Subtleties of regression analysis/5. The ordinary least squares setting and its practical applications.mp4
20.05MB
14. Subtleties of regression analysis/7. Studying regression tables.mp4
36.78MB
15. Assumptions for linear regression analysis/1. OLS assumptions.mp4
19.39MB
15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4
26.59MB
15. Assumptions for linear regression analysis/3. A1. Linearity.mp4
12.06MB
15. Assumptions for linear regression analysis/5. A2. No endogeneity.mp4
32.45MB
15. Assumptions for linear regression analysis/7. A3. Normality and homoscedasticity.mp4
39.97MB
15. Assumptions for linear regression analysis/9. A4. No autocorrelation.mp4
25.89MB
16. Dealing with categorical data/1. Dummy variables.mp4
38.19MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4
129.32MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4
58.05MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4
72.6MB
3. The fundamentals of descriptive statistics/11. Histogram charts.mp4
13.79MB
3. The fundamentals of descriptive statistics/14. Cross tables and scatter plots.mp4
39.81MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4
54.38MB
3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4
38.48MB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4
25.84MB
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4
37.12MB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4
27.47MB
4. Measures of central tendency, asymmetry, and variability/14. The correlation coefficient.mp4
29.41MB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.mp4
19.42MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4
50.93MB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4
45.21MB
5. Practical example descriptive statistics/1. Practical example.mp4
160.47MB
6. Distributions/1. Introduction to inferential statistics.mp4
15.48MB
6. Distributions/11. Standard error.mp4
22.77MB
6. Distributions/2. What is a distribution.mp4
61.62MB
6. Distributions/4. The Normal distribution.mp4
49.86MB
6. Distributions/6. The standard normal distribution.mp4
22.5MB
6. Distributions/9. Understanding the central limit theorem.mp4
62.9MB
7. Estimators and estimates/1. Working with estimators and estimates.mp4
47.84MB
7. Estimators and estimates/10. Calculating confidence intervals within a population with an unknown variance.mp4
32.19MB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4
59.2MB
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4
49.93MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4
78.22MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4
57.11MB
7. Estimators and estimates/8. Student's T distribution.mp4
35.41MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4
70.5MB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).mp4
28.76MB
8. Confidence intervals advanced topics/5. Calculating confidence intervals for two means with independent samples (part 2).mp4
26.82MB
8. Confidence intervals advanced topics/7. Calculating confidence intervals for two means with independent samples (part 3).mp4
19.88MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4
102.59MB
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