[Udemy] Statistics for Data Science and Business Analysis (2020)

Creation Time	June 1, 2025, 4:47 p.m.
Last Access Time	Sept. 4, 2025, 12:10 a.m.
File Size	2.8 GB
Keywords	and Statistics Business for Science Analysis Udemy 2020 Data
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Total Files	252
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05 Practical example descriptive statistics/026 Practical example.mp4 160.5 MB
17 Practical example regression analysis/091 Practical example regression analysis.mp4 129.3 MB
09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 102.6 MB
10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 92.1 MB
10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 82.5 MB
07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 78.2 MB
03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 72.6 MB
08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 70.5 MB
12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 69.4 MB
01 Introduction/001 What does the course cover.mp4 68.6 MB
06 Distributions/033 Understanding the central limit theorem.mp4 62.9 MB
06 Distributions/029 What is a distribution.mp4 61.6 MB
02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 58.0 MB
07 Estimators and estimates/039 Confidence interval clarifications.mp4 57.1 MB
11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 55.9 MB
03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 54.4 MB
11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 54.3 MB
13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 51.0 MB
04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4 50.9 MB
11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4 50.4 MB
07 Estimators and estimates/036 Confidence intervals - an invaluable tool for decision making.mp4 49.9 MB
06 Distributions/030 The Normal distribution.mp4 49.9 MB
07 Estimators and estimates/035 Working with estimators and estimates.mp4 47.8 MB
07 Estimators and estimates/043 What is a margin of error and why is it important in Statistics.mp4 47.2 MB
13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.mp4 45.9 MB
04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.mp4 45.2 MB
10 Hypothesis testing Introduction/056 Type I error vs Type II error.mp4 43.9 MB
14 Subtleties of regression analysis/082 The adjusted R-squared.mp4 43.7 MB
14 Subtleties of regression analysis/076 Decomposing the linear regression model - understanding its nuts and bolts.mp4 42.2 MB
11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.mp4 40.2 MB
15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.mp4 40.0 MB
03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots.mp4 39.8 MB
03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.mp4 38.5 MB
16 Dealing with categorical data/090 Dummy variables.mp4 38.2 MB
04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.mp4 37.1 MB
14 Subtleties of regression analysis/079 Studying regression tables.mp4 36.8 MB
14 Subtleties of regression analysis/077 What is R-squared and how does it help us.mp4 36.4 MB
11 Hypothesis testing Lets start testing/066 Test for the mean. Independent samples (Part 2).mp4 36.4 MB
07 Estimators and estimates/040 Students T distribution.mp4 35.4 MB
15 Assumptions for linear regression analysis/086 A2. No endogeneity.mp4 32.4 MB
07 Estimators and estimates/041 Calculating confidence intervals within a population with an unknown variance.mp4 32.2 MB
11 Hypothesis testing Lets start testing/064 Test for the mean. Independent samples (Part 1).mp4 30.0 MB
04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.mp4 29.4 MB
08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).mp4 28.8 MB
04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.mp4 27.5 MB
08 Confidence intervals advanced topics/048 Calculating confidence intervals for two means with independent samples (part 2).mp4 26.8 MB
15 Assumptions for linear regression analysis/089 A5. No multicollinearity.mp4 26.6 MB
15 Assumptions for linear regression analysis/088 A4. No autocorrelation.mp4 25.9 MB
03 The fundamentals of descriptive statistics/008 Numerical variables. Using a frequency distribution table.mp4 25.8 MB
13 The fundamentals of regression analysis/071 Correlation and causation.mp4 25.6 MB
06 Distributions/034 Standard error.mp4 22.8 MB
06 Distributions/031 The standard normal distribution.mp4 22.5 MB
14 Subtleties of regression analysis/078 The ordinary least squares setting and its practical applications.mp4 20.0 MB
08 Confidence intervals advanced topics/050 Calculating confidence intervals for two means with independent samples (part 3).mp4 19.9 MB
04 Measures of central tendency asymmetry and variability/016 Measuring skewness.mp4 19.4 MB
13 The fundamentals of regression analysis/070 Introduction to regression analysis.mp4 19.4 MB
15 Assumptions for linear regression analysis/084 OLS assumptions.mp4 19.4 MB
14 Subtleties of regression analysis/081 The multiple linear regression model.mp4 19.1 MB
06 Distributions/028 Introduction to inferential statistics.mp4 15.5 MB
14 Subtleties of regression analysis/083 What does the F-statistic show us and why do we need to understand it.mp4 13.9 MB
03 The fundamentals of descriptive statistics/010 Histogram charts.mp4 13.8 MB
13 The fundamentals of regression analysis/073 What is the difference between correlation and regression.mp4 12.7 MB
15 Assumptions for linear regression analysis/085 A1. Linearity.mp4 12.1 MB
13 The fundamentals of regression analysis/074 A geometrical representation of the linear regression model.mp4 4.9 MB
09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx 1.8 MB
09 Practical example inferential statistics/051 3.17.Practical-example.Confidence-intervals-lesson.xlsx 1.7 MB
09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise.xlsx 1.7 MB
17 Practical example regression analysis/091 5.21.Regression-Analysis-practical-example.xlsx 1.4 MB
11 Hypothesis testing Lets start testing/059 Online-p-value-calculator.pdf 1.2 MB
10 Hypothesis testing Introduction/053 Course-notes-hypothesis-testing.pdf 648.2 KB
10 Hypothesis testing Introduction/055 Course-notes-hypothesis-testing.pdf 648.2 KB
02 Sample or population data/003 Course-notes-descriptive-statistics.pdf 482.2 KB
03 The fundamentals of descriptive statistics/004 Course-notes-descriptive-statistics.pdf 482.2 KB
06 Distributions/028 Course-notes-inferential-statistics.pdf 382.3 KB
06 Distributions/029 Course-notes-inferential-statistics.pdf 382.3 KB
03 The fundamentals of descriptive statistics/007 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf 289.1 KB
03 The fundamentals of descriptive statistics/011 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf 289.1 KB
05 Practical example descriptive statistics/026 2.13.Practical-example.Descriptive-statistics-lesson.xlsx 146.5 KB
05 Practical example descriptive statistics/027 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx 146.4 KB
05 Practical example descriptive statistics/027 2.13.Practical-example.Descriptive-statistics-exercise.xlsx 120.3 KB
12 Practical example hypothesis testing/068 4.10.Hypothesis-testing-section-practical-example.xlsx 51.7 KB
12 Practical example hypothesis testing/069 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx 44.0 KB
12 Practical example hypothesis testing/069 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx 43.4 KB
03 The fundamentals of descriptive statistics/007 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx 41.1 KB
03 The fundamentals of descriptive statistics/013 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx 40.4 KB
04 Measures of central tendency asymmetry and variability/016 2.8.Skewness-lesson.xlsx 34.6 KB
03 The fundamentals of descriptive statistics/006 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx 30.8 KB
04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise-solution.xlsx 29.5 KB
04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise-solution.xlsx 29.5 KB
04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise.xlsx 29.3 KB
03 The fundamentals of descriptive statistics/012 2.6.Cross-table-and-scatter-plot.xlsx 26.1 KB
07 Estimators and estimates/037 3.9.The-z-table.xlsx 25.6 KB
07 Estimators and estimates/038 3.9.The-z-table.xlsx 25.6 KB
16 Dealing with categorical data/090 5.20.Dummy-variables-lesson.xlsx 25.2 KB
04 Measures of central tendency asymmetry and variability/024 2.12.Correlation-lesson.xlsx 25.0 KB
04 Measures of central tendency asymmetry and variability/022 2.11.Covariance-lesson.xlsx 24.9 KB
06 Distributions/032 3.4.Standard-normal-distribution-exercise-solution.xlsx 24.0 KB
13 The fundamentals of regression analysis/075 5.6.Example-lesson.xlsx 23.5 KB
01 Introduction/001 Statistics-Glossary.xlsx 20.3 KB
04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise.xlsx 20.2 KB
02 Sample or population data/003 Glossary.xlsx 20.0 KB
04 Measures of central tendency asymmetry and variability/017 2.8.Skewness-exercise-solution.xlsx 19.8 KB
06 Distributions/029 3.2.What-is-a-distribution-lesson.xlsx 19.5 KB
05 Practical example descriptive statistics/026 Practical example.en.srt 19.1 KB
03 The fundamentals of descriptive statistics/010 2.5.The-Histogram-lesson.xlsx 18.6 KB
14 Subtleties of regression analysis/082 5.12.Adjusted-R-squared-lesson.xlsx 18.2 KB
17 Practical example regression analysis/091 Practical example regression analysis.en.srt 17.5 KB
03 The fundamentals of descriptive statistics/011 2.5.The-Histogram-exercise-solution.xlsx 17.1 KB
03 The fundamentals of descriptive statistics/013 2.6.Cross-table-and-scatter-plot-exercise.xlsx 16.3 KB
07 Estimators and estimates/041 3.11.The-t-table.xlsx 15.8 KB
07 Estimators and estimates/042 3.11.The-t-table.xlsx 15.8 KB
03 The fundamentals of descriptive statistics/011 2.5.The-Histogram-exercise.xlsx 15.5 KB
03 The fundamentals of descriptive statistics/007 2.3.Categorical-variables.Visualization-techniques-exercise.xlsx 15.2 KB
11 Hypothesis testing Lets start testing/060 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx 14.5 KB
11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx 14.4 KB
08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx 14.2 KB
08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise.xlsx 13.7 KB
03 The fundamentals of descriptive statistics/009 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx 13.3 KB
09 Practical example inferential statistics/051 Practical example inferential statistics.en.srt 12.9 KB
11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise.xlsx 12.8 KB
11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx 12.6 KB
04 Measures of central tendency asymmetry and variability/021 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx 12.6 KB
14 Subtleties of regression analysis/079 5.10.Regression-tables-lesson.xlsx 12.5 KB
14 Subtleties of regression analysis/080 5.10.Regression-tables-exercise-solution.xlsx 12.5 KB
14 Subtleties of regression analysis/080 5.10.Regression-tables-exercise.xlsx 12.0 KB
06 Distributions/032 3.4.Standard-normal-distribution-exercise.xlsx 12.0 KB
03 The fundamentals of descriptive statistics/009 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx 11.7 KB
04 Measures of central tendency asymmetry and variability/021 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx 11.6 KB
03 The fundamentals of descriptive statistics/008 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx 11.4 KB
11 Hypothesis testing Lets start testing/067 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx 11.4 KB
04 Measures of central tendency asymmetry and variability/015 2.7.Mean-median-and-mode-exercise-solution.xlsx 11.4 KB
11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx 11.3 KB
11 Hypothesis testing Lets start testing/065 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx 11.3 KB
11 Hypothesis testing Lets start testing/058 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx 11.2 KB
07 Estimators and estimates/037 3.9.Population-variance-known-z-score-lesson.xlsx 11.2 KB
07 Estimators and estimates/038 3.9.Population-variance-known-z-score-exercise-solution.xlsx 11.2 KB
07 Estimators and estimates/042 3.11.Population-variance-unknown-t-score-exercise-solution.xlsx 11.1 KB
04 Measures of central tendency asymmetry and variability/019 2.9.Variance-exercise-solution.xlsx 11.1 KB
11 Hypothesis testing Lets start testing/058 4.4.Test-for-the-mean.Population-variance-known-exercise.xlsx 11.0 KB
04 Measures of central tendency asymmetry and variability/020 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx 11.0 KB
11 Hypothesis testing Lets start testing/057 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx 11.0 KB
04 Measures of central tendency asymmetry and variability/015 2.7.Mean-median-and-mode-exercise.xlsx 10.9 KB
07 Estimators and estimates/038 3.9.Population-variance-known-z-score-exercise.xlsx 10.8 KB
04 Measures of central tendency asymmetry and variability/019 2.9.Variance-exercise.xlsx 10.8 KB
07 Estimators and estimates/041 3.11.Population-variance-unknown-t-score-lesson.xlsx 10.8 KB
11 Hypothesis testing Lets start testing/065 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx 10.8 KB
13 The fundamentals of regression analysis/071 5.2.Correlation-and-causation-lesson.xlsx 10.6 KB
07 Estimators and estimates/042 3.11.Population-variance-unknown-t-score-exercise.xlsx 10.6 KB
11 Hypothesis testing Lets start testing/067 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx 10.5 KB
04 Measures of central tendency asymmetry and variability/014 2.7.Mean-median-and-mode-lesson.xlsx 10.5 KB
08 Confidence intervals advanced topics/044 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx 10.5 KB
06 Distributions/031 3.4.Standard-normal-distribution-lesson.xlsx 10.4 KB
08 Confidence intervals advanced topics/047 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx 10.1 KB
04 Measures of central tendency asymmetry and variability/018 2.9.Variance-lesson.xlsx 10.1 KB
08 Confidence intervals advanced topics/046 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx 9.8 KB
08 Confidence intervals advanced topics/047 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise.xlsx 9.8 KB
08 Confidence intervals advanced topics/049 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx 9.8 KB
11 Hypothesis testing Lets start testing/062 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx 9.8 KB
11 Hypothesis testing Lets start testing/064 4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx 9.6 KB
08 Confidence intervals advanced topics/048 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx 9.5 KB
04 Measures of central tendency asymmetry and variability/017 2.8.Skewness-exercise.xlsx 9.5 KB
11 Hypothesis testing Lets start testing/066 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx 9.3 KB
08 Confidence intervals advanced topics/049 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise.xlsx 9.2 KB
07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.en.srt 8.8 KB
10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.en.srt 8.7 KB
12 Practical example hypothesis testing/068 Practical example hypothesis testing.en.srt 7.8 KB
08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.en.srt 7.6 KB
13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.en.srt 7.4 KB
11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.en.srt 7.3 KB
04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.en.srt 7.2 KB
13 The fundamentals of regression analysis/072 The linear regression model made easy.en.srt 7.1 KB
10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.en.srt 7.0 KB
15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.en.srt 6.7 KB
14 Subtleties of regression analysis/082 The adjusted R-squared.en.srt 6.5 KB
03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots.en.srt 6.4 KB
14 Subtleties of regression analysis/077 What is R-squared and how does it help us.en.srt 6.4 KB
03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.en.srt 6.2 KB
07 Estimators and estimates/043 What is a margin of error and why is it important in Statistics.en.srt 6.1 KB
16 Dealing with categorical data/090 Dummy variables.en.srt 6.1 KB
11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.en.srt 6.1 KB
14 Subtleties of regression analysis/079 Studying regression tables.en.srt 6.0 KB
03 The fundamentals of descriptive statistics/004 The various types of data we can work with.en.srt 5.9 KB
04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.en.srt 5.8 KB
08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).en.srt 5.7 KB
13 The fundamentals of regression analysis/071 Correlation and causation.en.srt 5.6 KB
01 Introduction/001 What does the course cover.en.srt 5.6 KB
06 Distributions/029 What is a distribution.en.srt 5.6 KB
02 Sample or population data/003 Understanding the difference between a population and a sample.en.srt 5.5 KB
11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.en.srt 5.5 KB
04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.en.srt 5.4 KB
06 Distributions/033 Understanding the central limit theorem.en.srt 5.3 KB
07 Estimators and estimates/039 Confidence interval clarifications.en.srt 5.3 KB
15 Assumptions for linear regression analysis/086 A2. No endogeneity.en.srt 5.2 KB
10 Hypothesis testing Introduction/056 Type I error vs Type II error.en.srt 5.2 KB
11 Hypothesis testing Lets start testing/066 Test for the mean. Independent samples (Part 2).en.srt 5.1 KB
11 Hypothesis testing Lets start testing/064 Test for the mean. Independent samples (Part 1).en.srt 5.1 KB
07 Estimators and estimates/041 Calculating confidence intervals within a population with an unknown variance.en.srt 5.0 KB
11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.en.srt 4.9 KB
06 Distributions/030 The Normal distribution.en.srt 4.8 KB
15 Assumptions for linear regression analysis/089 A5. No multicollinearity.en.srt 4.6 KB
04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.en.srt 4.6 KB
15 Assumptions for linear regression analysis/088 A4. No autocorrelation.en.srt 4.5 KB
04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.en.srt 4.5 KB
03 The fundamentals of descriptive statistics/005 Levels of measurement.en.srt 4.4 KB
08 Confidence intervals advanced topics/048 Calculating confidence intervals for two means with independent samples (part 2).en.srt 4.2 KB
14 Subtleties of regression analysis/076 Decomposing the linear regression model - understanding its nuts and bolts.en.srt 4.2 KB
03 The fundamentals of descriptive statistics/008 Numerical variables. Using a frequency distribution table.en.srt 4.1 KB
07 Estimators and estimates/040 Students T distribution.en.srt 4.1 KB
06 Distributions/031 The standard normal distribution.en.srt 3.7 KB
07 Estimators and estimates/035 Working with estimators and estimates.en.srt 3.6 KB
04 Measures of central tendency asymmetry and variability/016 Measuring skewness.en.srt 3.4 KB
14 Subtleties of regression analysis/081 The multiple linear regression model.en.srt 3.3 KB
10 Hypothesis testing Introduction/054 Further reading on null and alternative hypotheses.html 3.2 KB
15 Assumptions for linear regression analysis/084 OLS assumptions.en.srt 3.0 KB
03 The fundamentals of descriptive statistics/010 Histogram charts.en.srt 3.0 KB
07 Estimators and estimates/036 Confidence intervals - an invaluable tool for decision making.en.srt 2.9 KB
14 Subtleties of regression analysis/078 The ordinary least squares setting and its practical applications.en.srt 2.8 KB
14 Subtleties of regression analysis/083 What does the F-statistic show us and why do we need to understand it.en.srt 2.6 KB
15 Assumptions for linear regression analysis/085 A1. Linearity.en.srt 2.4 KB
13 The fundamentals of regression analysis/073 What is the difference between correlation and regression.en.srt 2.1 KB
06 Distributions/034 Standard error.en.srt 1.9 KB
08 Confidence intervals advanced topics/050 Calculating confidence intervals for two means with independent samples (part 3).en.srt 1.8 KB
13 The fundamentals of regression analysis/074 A geometrical representation of the linear regression model.en.srt 1.6 KB
06 Distributions/028 Introduction to inferential statistics.en.srt 1.6 KB
01 Introduction/002 Download all resources.html 1.5 KB
13 The fundamentals of regression analysis/070 Introduction to regression analysis.en.srt 1.5 KB
08 Confidence intervals advanced topics/047 Confidence intervals. Two means. Independent samples (Part 1). Exercise.html 993 bytes
08 Confidence intervals advanced topics/049 Confidence intervals. Two means. Independent samples (Part 2). Exercise.html 993 bytes
03 The fundamentals of descriptive statistics/009 Numerical variables. Using a frequency distribution table. Exercise.html 989 bytes
11 Hypothesis testing Lets start testing/061 Test for the mean. Population variance unknown. Exercise.html 983 bytes
08 Confidence intervals advanced topics/045 Confidence intervals. Two means. Dependent samples. Exercise.html 982 bytes
11 Hypothesis testing Lets start testing/058 Test for the mean. Population variance known. Exercise.html 981 bytes
11 Hypothesis testing Lets start testing/067 Test for the mean. Independent samples (Part 2). Exercise.html 980 bytes
03 The fundamentals of descriptive statistics/007 Categorical variables. Visualization techniques. Exercise.html 979 bytes
04 Measures of central tendency asymmetry and variability/021 Standard deviation and coefficient of variation. Exercise.html 979 bytes
07 Estimators and estimates/038 Confidence intervals. Population variance known. Exercise.html 979 bytes
11 Hypothesis testing Lets start testing/063 Test for the mean. Dependent samples. Exercise.html 973 bytes
11 Hypothesis testing Lets start testing/065 Test for the mean. Independent samples (Part 1).html 970 bytes
07 Estimators and estimates/042 Population variance unknown. T-score. Exercise.html 968 bytes
12 Practical example hypothesis testing/069 Practical example hypothesis testing.html 963 bytes
03 The fundamentals of descriptive statistics/013 Cross tables and scatter plots. Exercise.html 962 bytes
05 Practical example descriptive statistics/027 Practical example descriptive statistics.html 962 bytes
09 Practical example inferential statistics/052 Practical example inferential statistics.html 962 bytes
06 Distributions/032 Standard Normal Distribution. Exercise.html 960 bytes
14 Subtleties of regression analysis/080 Regression tables. Exercise.html 954 bytes
04 Measures of central tendency asymmetry and variability/015 Mean median and mode. Exercise.html 952 bytes
03 The fundamentals of descriptive statistics/011 Histogram charts. Exercise.html 948 bytes
04 Measures of central tendency asymmetry and variability/025 Correlation coefficient.html 945 bytes
04 Measures of central tendency asymmetry and variability/023 Covariance. Exercise.html 942 bytes
04 Measures of central tendency asymmetry and variability/017 Skewness. Exercise.html 940 bytes
04 Measures of central tendency asymmetry and variability/019 Variance. Exercise.html 940 bytes
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[Udemy] Statistics for Data Science and Business Analysis (2020)

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