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[FreeTutorials.Us] [UDEMY] Statistics for Data Science and Business Analysis [FTU]
magnet:?xt=urn:btih:8a7202f05504cbf4ef8969c4d6d4dbeec3664919&dn=[FreeTutorials.Us] [UDEMY] Statistics for Data Science and Business Analysis [FTU]
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Hash值:
8a7202f05504cbf4ef8969c4d6d4dbeec3664919
点击数:
168
文件大小:
2.82 GB
文件数量:
64
创建日期:
2020-1-20 06:29
最后访问:
2024-5-10 01:57
访问标签:
FreeTutorials
Us
UDEMY
Statistics
for
Data
Science
and
Business
Analysis
FTU
文件列表详情
1. Introduction/1. What does the course cover.mp4 38.74 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 92.15 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 82.53 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 54.29 MB
11. Hypothesis testing Let's start testing!/11. Test for the mean. Independent samples (Part 2).mp4 36.38 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 40.25 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 29.96 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 69.38 MB
13. The fundamentals of regression analysis/1. Introduction to regression analysis.mp4 19.4 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 50.98 MB
13. The fundamentals of regression analysis/7. What is the difference between correlation and regression.mp4 12.72 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 42.21 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 43.7 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 36.44 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
15. Assumptions for linear regression analysis/1. OLS assumptions.mp4 19.38 MB
15. Assumptions for linear regression analysis/11. A5. No multicollinearity.mp4 26.58 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 39.96 MB
15. Assumptions for linear regression analysis/9. A4. No autocorrelation.mp4 25.88 MB
16. Dealing with categorical data/1. Dummy variables.mp4 57.24 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 182.98 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 36.92 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 35.01 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 39.8 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 54.37 MB
3. The fundamentals of descriptive statistics/5. Categorical variables. Visualization techniques for categorical variables.mp4 38.47 MB
3. The fundamentals of descriptive statistics/8. Numerical variables. Using a frequency distribution table.mp4 25.85 MB
4. Measures of central tendency, asymmetry, and variability/1. The main measures of central tendency mean, median and mode.mp4 42.88 MB
4. Measures of central tendency, asymmetry, and variability/11. Calculating and understanding covariance.mp4 27.47 MB
4. Measures of central tendency, asymmetry, and variability/13. The correlation coefficient.mp4 29.4 MB
4. Measures of central tendency, asymmetry, and variability/3. Measuring skewness.mp4 19.41 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 50.93 MB
4. Measures of central tendency, asymmetry, and variability/8. Standard deviation and coefficient of variation.mp4 45.2 MB
5. Practical example descriptive statistics/1. Practical example.mp4 217.81 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 61.61 MB
6. Distributions/4. The Normal distribution.mp4 49.86 MB
6. Distributions/6. The standard normal distribution.mp4 22.5 MB
6. Distributions/9. Understanding the central limit theorem.mp4 62.89 MB
7. Estimators and estimates/1. Working with estimators and estimates.mp4 47.83 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 59.19 MB
7. Estimators and estimates/3. Confidence intervals - an invaluable tool for decision making.mp4 49.93 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 78.21 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 57.11 MB
7. Estimators and estimates/8. Student's T distribution.mp4 35.4 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 70.49 MB
8. Confidence intervals advanced topics/3. Calculating confidence intervals for two means with independent samples (part 1).mp4 28.76 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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