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[FreeCourseSite.com] Udemy - Statistics for Data Science and Business Analysis
magnet:?xt=urn:btih:86a26ddc34485e81ac2e45678311b317508cc31b&dn=[FreeCourseSite.com] Udemy - Statistics for Data Science and Business Analysis
磁力链接详情
Hash值:
86a26ddc34485e81ac2e45678311b317508cc31b
点击数:
101
文件大小:
544.72 MB
文件数量:
63
创建日期:
2020-6-5 23:12
最后访问:
2024-7-21 18:06
访问标签:
FreeCourseSite
com
Udemy
-
Statistics
for
Data
Science
and
Business
Analysis
文件列表详情
01 Introduction/001 What does the course cover_.mp4 12.68 MB
02 Sample or population data_/002 Understanding the difference between a population and a sample.mp4 11.36 MB
03 The fundamentals of descriptive statistics/003 The various types of data we can work with.mp4 11.01 MB
03 The fundamentals of descriptive statistics/004 Levels of measurement.mp4 8.8 MB
03 The fundamentals of descriptive statistics/005 Categorical variables_ Visualization techniques for categorical variables.mp4 6.87 MB
03 The fundamentals of descriptive statistics/007 Numerical variables_ Using a frequency distribution table.mp4 5.77 MB
03 The fundamentals of descriptive statistics/009 Histogram charts.mp4 4.27 MB
03 The fundamentals of descriptive statistics/011 Cross tables and scatter plots.mp4 8.65 MB
04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode.mp4 9.98 MB
04 Measures of central tendency_ asymmetry_ and variability/015 Measuring skewness.mp4 4.78 MB
04 Measures of central tendency_ asymmetry_ and variability/017 Measuring how data is spread out_ calculating variance.mp4 8.96 MB
04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation.mp4 10.78 MB
04 Measures of central tendency_ asymmetry_ and variability/021 Calculating and understanding covariance.mp4 5.73 MB
04 Measures of central tendency_ asymmetry_ and variability/023 The correlation coefficient.mp4 8.06 MB
05 Practical example_ descriptive statistics/025 Practical example.mp4 41.29 MB
06 Distributions/027 Introduction to inferential statistics.mp4 2.46 MB
06 Distributions/028 What is a distribution_.mp4 5.64 MB
06 Distributions/029 The Normal distribution.mp4 5.6 MB
06 Distributions/030 The standard normal distribution.mp4 4.58 MB
06 Distributions/032 Understanding the central limit theorem.mp4 9.18 MB
06 Distributions/033 Standard error.mp4 3.01 MB
07 Estimators and estimates/034 Working with estimators and estimates.mp4 4.64 MB
07 Estimators and estimates/035 Confidence intervals - an invaluable tool for decision making.mp4 6.05 MB
07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance.mp4 12.48 MB
07 Estimators and estimates/038 Student's T distribution.mp4 10.25 MB
07 Estimators and estimates/039 Calculating confidence intervals within a population with an unknown variance.mp4 6.43 MB
07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_.mp4 10.2 MB
08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples.mp4 11.46 MB
08 Confidence intervals_ advanced topics/044 Calculating confidence intervals for two means with independent samples (part 1).mp4 7.03 MB
08 Confidence intervals_ advanced topics/046 Calculating confidence intervals for two means with independent samples (part 2).mp4 6 MB
08 Confidence intervals_ advanced topics/048 Calculating confidence intervals for two means with independent samples (part 3).mp4 2.25 MB
09 Practical example_ inferential statistics/049 Practical example_ inferential statistics.mp4 25.25 MB
10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis.mp4 9.35 MB
10 Hypothesis testing_ Introduction/052 Establishing a rejection region and a significance level.mp4 7.2 MB
10 Hypothesis testing_ Introduction/053 Type I error vs Type II error.mp4 7.66 MB
11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known.mp4 10.73 MB
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 6.59 MB
11 Hypothesis testing_ Let's start testing!/057 Test for the mean_ Population variance unknown.mp4 7.38 MB
11 Hypothesis testing_ Let's start testing!/059 Test for the mean_ Dependent samples.mp4 7.37 MB
11 Hypothesis testing_ Let's start testing!/061 Test for the mean_ Independent samples (Part 1).mp4 7.88 MB
11 Hypothesis testing_ Let's start testing!/062 Test for the mean_ Independent samples (Part 2).mp4 6.74 MB
12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing.mp4 19.95 MB
13 The fundamentals of regression analysis/066 Introduction to regression analysis.mp4 1.86 MB
13 The fundamentals of regression analysis/067 Correlation and causation.mp4 7.02 MB
13 The fundamentals of regression analysis/068 The linear regression model made easy.mp4 9.49 MB
13 The fundamentals of regression analysis/069 What is the difference between correlation and regression_.mp4 2.12 MB
13 The fundamentals of regression analysis/070 A geometrical representation of the linear regression model.mp4 1.7 MB
13 The fundamentals of regression analysis/071 A practical example - Reinforced learning.mp4 8.86 MB
14 Subtleties of regression analysis/072 Decomposing the linear regression model - understanding its nuts and bolts.mp4 3.76 MB
14 Subtleties of regression analysis/073 What is R-squared and how does it help us_.mp4 8.31 MB
14 Subtleties of regression analysis/074 The ordinary least squares setting and its practical applications.mp4 4.64 MB
14 Subtleties of regression analysis/075 Studying regression tables.mp4 7.04 MB
14 Subtleties of regression analysis/077 The multivariate linear regression model.mp4 4.44 MB
14 Subtleties of regression analysis/078 Adjusted R-squared.mp4 11.9 MB
14 Subtleties of regression analysis/079 What does the F-statistic show us and why we need to understand it_.mp4 3.08 MB
15 Assumptions for linear regression analysis/080 OLS assumptions.mp4 3.56 MB
15 Assumptions for linear regression analysis/081 A1_ Linearity.mp4 2.55 MB
15 Assumptions for linear regression analysis/082 A2_ No endogeneity.mp4 9.42 MB
15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity.mp4 11.38 MB
15 Assumptions for linear regression analysis/084 A4_ No autocorrelation.mp4 5.44 MB
15 Assumptions for linear regression analysis/085 A5_ No multicollinearity.mp4 5.39 MB
16 Dealing with categorical data/086 Dummy variables.mp4 8 MB
17 Practical example_ regression analysis/087 Practical example_ regression analysis.mp4 42.44 MB
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