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

Creation Time	June 1, 2025, 4:47 p.m.
Last Access Time	Oct. 23, 2025, 10:17 a.m.
File Size	2.8 GB
Keywords	and Statistics Business for Science Analysis Udemy 2020 Data
Total Requests	92
Total Files	252
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

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
Data Science Statistics for Data Scientists and Business Analysis Udemy.URL 260 bytes

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

File List

Download Torrent

Related Resources

Copyright Infringement