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[FreeTutorials.Us] Udemy - statistics-for-data-science-and-business-analysis
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2018-7-19 22:02
2024-9-3 14:24
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544.72 MB
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文件列表
01 Introduction/001 What does the course cover_.mp4
12.68MB
02 Sample or population data_/002 Understanding the difference between a population and a sample.mp4
11.36MB
03 The fundamentals of descriptive statistics/003 The various types of data we can work with.mp4
11.01MB
03 The fundamentals of descriptive statistics/004 Levels of measurement.mp4
8.8MB
03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables.mp4
6.87MB
03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table.mp4
5.77MB
03 The fundamentals of descriptive statistics/009 Histogram charts.mp4
4.27MB
03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots.mp4
8.65MB
04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode.mp4
9.98MB
04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness.mp4
4.78MB
04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance.mp4
8.96MB
04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation.mp4
10.78MB
04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance.mp4
5.73MB
04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient.mp4
8.06MB
05 Practical example_ descriptive statistics/025 Practical example.mp4
41.29MB
06 Distributions/027 Introduction to inferential statistics.mp4
2.46MB
06 Distributions/028 What is a distribution_.mp4
5.64MB
06 Distributions/029 The Normal distribution.mp4
5.6MB
06 Distributions/030 The standard normal distribution.mp4
4.58MB
06 Distributions/032 Understanding the central limit theorem.mp4
9.18MB
06 Distributions/033 Standard error.mp4
3.01MB
07 Estimators and estimates/034 Working with estimators and estimates.mp4
4.64MB
07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making.mp4
6.05MB
07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance.mp4
12.48MB
07 Estimators and estimates/038 Student's T distribution.mp4
10.25MB
07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance.mp4
6.43MB
07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_.mp4
10.2MB
08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples.mp4
11.46MB
08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1).mp4
7.03MB
08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2).mp4
6MB
08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3).mp4
2.25MB
09 Practical example_ inferential statistics/049 Practical example_ inferential statistics.mp4
25.25MB
10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis.mp4
9.35MB
10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level.mp4
7.2MB
10 Hypothesis testing_ Introduction/053 Type I error vs Type II error.mp4
7.66MB
11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known.mp4
10.73MB
11 Hypothesis testing_ Let's start testing!/056 What is the p-value and why is it one of the most useful tool for statisticians_.mp4
6.59MB
11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown.mp4
7.38MB
11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples.mp4
7.37MB
11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1).mp4
7.88MB
11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2).mp4
6.74MB
12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing.mp4
19.95MB
13 The fundamentals of regression analysis/066 Introduction to regression analysis.mp4
1.86MB
13 The fundamentals of regression analysis/067 Correlation and causation.mp4
7.02MB
13 The fundamentals of regression analysis/068 The linear regression model made easy.mp4
9.49MB
13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_.mp4
2.12MB
13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model.mp4
1.7MB
13 The fundamentals of regression analysis/071 A practical example - Reinforced learning.mp4
8.86MB
14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts.mp4
3.76MB
14 Subtleties of regression analysis/073 What is R-squared and how does it help us_.mp4
8.31MB
14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications.mp4
4.64MB
14 Subtleties of regression analysis/075 Studying regression tables.mp4
7.04MB
14 Subtleties of regression analysis/077 The multivariate linear regression model.mp4
4.44MB
14 Subtleties of regression analysis/078 Adjusted R-squared.mp4
11.9MB
14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_.mp4
3.08MB
15 Assumptions for linear regression analysis/080 OLS assumptions.mp4
3.56MB
15 Assumptions for linear regression analysis/081 A1_ Linearity.mp4
2.55MB
15 Assumptions for linear regression analysis/082 A2_ No endogeneity.mp4
9.42MB
15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity.mp4
11.38MB
15 Assumptions for linear regression analysis/084 A4_ No autocorrelation.mp4
5.44MB
15 Assumptions for linear regression analysis/085 A5_ No multicollinearity.mp4
5.39MB
16 Dealing with categorical data/086 Dummy variables.mp4
8MB
17 Practical example_ regression analysis/087 Practical example_ regression analysis.mp4
42.44MB
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