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[Udemy] Statistics for Data Science and Business Analysis (2020)
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3.0 GB
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收录时间:
2020-11-22
最近下载:
2025-01-29
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文档列表
05 Practical example descriptive statistics/026 Practical example.mp4
168.3 MB
17 Practical example regression analysis/091 Practical example regression analysis.mp4
135.6 MB
09 Practical example inferential statistics/051 Practical example inferential statistics.mp4
107.6 MB
10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4
96.6 MB
10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4
86.5 MB
07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4
82.0 MB
03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4
76.1 MB
08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4
73.9 MB
12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4
72.7 MB
01 Introduction/001 What does the course cover.mp4
72.0 MB
06 Distributions/033 Understanding the central limit theorem.mp4
65.9 MB
06 Distributions/029 What is a distribution.mp4
64.6 MB
02 Sample or population data/003 Understanding the difference between a population and a sample.mp4
60.9 MB
07 Estimators and estimates/039 Confidence interval clarifications.mp4
59.9 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
58.6 MB
03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4
57.0 MB
11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4
56.9 MB
13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4
53.5 MB
04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4
53.4 MB
11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4
52.9 MB
07 Estimators and estimates/036 Confidence intervals - an invaluable tool for decision making.mp4
52.4 MB
06 Distributions/030 The Normal distribution.mp4
52.3 MB
07 Estimators and estimates/035 Working with estimators and estimates.mp4
50.2 MB
07 Estimators and estimates/043 What is a margin of error and why is it important in Statistics.mp4
49.5 MB
13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.mp4
48.1 MB
04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.mp4
47.4 MB
10 Hypothesis testing Introduction/056 Type I error vs Type II error.mp4
46.1 MB
14 Subtleties of regression analysis/082 The adjusted R-squared.mp4
45.8 MB
14 Subtleties of regression analysis/076 Decomposing the linear regression model - understanding its nuts and bolts.mp4
44.3 MB
11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.mp4
42.2 MB
15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.mp4
41.9 MB
03 The fundamentals of descriptive statistics/012 Cross tables and scatter plots.mp4
41.7 MB
03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.mp4
40.3 MB
16 Dealing with categorical data/090 Dummy variables.mp4
40.0 MB
04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.mp4
38.9 MB
14 Subtleties of regression analysis/079 Studying regression tables.mp4
38.6 MB
14 Subtleties of regression analysis/077 What is R-squared and how does it help us.mp4
38.2 MB
11 Hypothesis testing Lets start testing/066 Test for the mean. Independent samples (Part 2).mp4
38.1 MB
07 Estimators and estimates/040 Students T distribution.mp4
37.1 MB
15 Assumptions for linear regression analysis/086 A2. No endogeneity.mp4
34.0 MB
07 Estimators and estimates/041 Calculating confidence intervals within a population with an unknown variance.mp4
33.7 MB
11 Hypothesis testing Lets start testing/064 Test for the mean. Independent samples (Part 1).mp4
31.4 MB
04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.mp4
30.8 MB
08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).mp4
30.1 MB
04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.mp4
28.8 MB
08 Confidence intervals advanced topics/048 Calculating confidence intervals for two means with independent samples (part 2).mp4
28.1 MB
15 Assumptions for linear regression analysis/089 A5. No multicollinearity.mp4
27.9 MB
15 Assumptions for linear regression analysis/088 A4. No autocorrelation.mp4
27.1 MB
03 The fundamentals of descriptive statistics/008 Numerical variables. Using a frequency distribution table.mp4
27.1 MB
13 The fundamentals of regression analysis/071 Correlation and causation.mp4
26.8 MB
06 Distributions/034 Standard error.mp4
23.9 MB
06 Distributions/031 The standard normal distribution.mp4
23.6 MB
14 Subtleties of regression analysis/078 The ordinary least squares setting and its practical applications.mp4
21.0 MB
08 Confidence intervals advanced topics/050 Calculating confidence intervals for two means with independent samples (part 3).mp4
20.8 MB
04 Measures of central tendency asymmetry and variability/016 Measuring skewness.mp4
20.4 MB
13 The fundamentals of regression analysis/070 Introduction to regression analysis.mp4
20.3 MB
15 Assumptions for linear regression analysis/084 OLS assumptions.mp4
20.3 MB
14 Subtleties of regression analysis/081 The multiple linear regression model.mp4
20.0 MB
06 Distributions/028 Introduction to inferential statistics.mp4
16.2 MB
14 Subtleties of regression analysis/083 What does the F-statistic show us and why do we need to understand it.mp4
14.6 MB
03 The fundamentals of descriptive statistics/010 Histogram charts.mp4
14.5 MB
13 The fundamentals of regression analysis/073 What is the difference between correlation and regression.mp4
13.3 MB
15 Assumptions for linear regression analysis/085 A1. Linearity.mp4
12.6 MB
13 The fundamentals of regression analysis/074 A geometrical representation of the linear regression model.mp4
5.1 MB
09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx
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09 Practical example inferential statistics/051 3.17.Practical-example.Confidence-intervals-lesson.xlsx
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09 Practical example inferential statistics/052 3.17.Practical-example.Confidence-intervals-exercise.xlsx
1.8 MB
17 Practical example regression analysis/091 5.21.Regression-Analysis-practical-example.xlsx
1.5 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
663.8 kB
10 Hypothesis testing Introduction/055 Course-notes-hypothesis-testing.pdf
663.8 kB
02 Sample or population data/003 Course-notes-descriptive-statistics.pdf
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03 The fundamentals of descriptive statistics/004 Course-notes-descriptive-statistics.pdf
493.8 kB
06 Distributions/028 Course-notes-inferential-statistics.pdf
391.5 kB
06 Distributions/029 Course-notes-inferential-statistics.pdf
391.5 kB
03 The fundamentals of descriptive statistics/007 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf
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03 The fundamentals of descriptive statistics/011 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf
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05 Practical example descriptive statistics/026 2.13.Practical-example.Descriptive-statistics-lesson.xlsx
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12 Practical example hypothesis testing/068 4.10.Hypothesis-testing-section-practical-example.xlsx
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03 The fundamentals of descriptive statistics/007 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx
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03 The fundamentals of descriptive statistics/013 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx
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04 Measures of central tendency asymmetry and variability/016 2.8.Skewness-lesson.xlsx
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03 The fundamentals of descriptive statistics/006 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx
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04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise-solution.xlsx
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04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise-solution.xlsx
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04 Measures of central tendency asymmetry and variability/025 2.12.Correlation-exercise.xlsx
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03 The fundamentals of descriptive statistics/012 2.6.Cross-table-and-scatter-plot.xlsx
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07 Estimators and estimates/037 3.9.The-z-table.xlsx
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07 Estimators and estimates/038 3.9.The-z-table.xlsx
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16 Dealing with categorical data/090 5.20.Dummy-variables-lesson.xlsx
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04 Measures of central tendency asymmetry and variability/024 2.12.Correlation-lesson.xlsx
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04 Measures of central tendency asymmetry and variability/022 2.11.Covariance-lesson.xlsx
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06 Distributions/032 3.4.Standard-normal-distribution-exercise-solution.xlsx
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13 The fundamentals of regression analysis/075 5.6.Example-lesson.xlsx
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01 Introduction/001 Statistics-Glossary.xlsx
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04 Measures of central tendency asymmetry and variability/023 2.11.Covariance-exercise.xlsx
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02 Sample or population data/003 Glossary.xlsx
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04 Measures of central tendency asymmetry and variability/017 2.8.Skewness-exercise-solution.xlsx
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06 Distributions/029 3.2.What-is-a-distribution-lesson.xlsx
19.9 kB
05 Practical example descriptive statistics/026 Practical example.en.srt
19.5 kB
03 The fundamentals of descriptive statistics/010 2.5.The-Histogram-lesson.xlsx
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14 Subtleties of regression analysis/082 5.12.Adjusted-R-squared-lesson.xlsx
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17 Practical example regression analysis/091 Practical example regression analysis.en.srt
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03 The fundamentals of descriptive statistics/011 2.5.The-Histogram-exercise-solution.xlsx
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07 Estimators and estimates/041 3.11.The-t-table.xlsx
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11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx
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08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx
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08 Confidence intervals advanced topics/045 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise.xlsx
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03 The fundamentals of descriptive statistics/009 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx
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09 Practical example inferential statistics/051 Practical example inferential statistics.en.srt
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11 Hypothesis testing Lets start testing/063 4.7.Test-for-the-mean.Dependent-samples-exercise.xlsx
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11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx
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14 Subtleties of regression analysis/079 5.10.Regression-tables-lesson.xlsx
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14 Subtleties of regression analysis/080 5.10.Regression-tables-exercise.xlsx
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03 The fundamentals of descriptive statistics/008 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx
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11 Hypothesis testing Lets start testing/067 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx
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04 Measures of central tendency asymmetry and variability/015 2.7.Mean-median-and-mode-exercise-solution.xlsx
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11 Hypothesis testing Lets start testing/061 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx
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11 Hypothesis testing Lets start testing/065 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx
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11 Hypothesis testing Lets start testing/058 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx
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07 Estimators and estimates/037 3.9.Population-variance-known-z-score-lesson.xlsx
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07 Estimators and estimates/042 3.11.Population-variance-unknown-t-score-exercise-solution.xlsx
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04 Measures of central tendency asymmetry and variability/019 2.9.Variance-exercise-solution.xlsx
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07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.en.srt
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10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.en.srt
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12 Practical example hypothesis testing/068 Practical example hypothesis testing.en.srt
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13 The fundamentals of regression analysis/075 A practical example - Reinforced learning.en.srt
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11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.en.srt
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04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.en.srt
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13 The fundamentals of regression analysis/072 The linear regression model made easy.en.srt
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10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.en.srt
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15 Assumptions for linear regression analysis/087 A3. Normality and homoscedasticity.en.srt
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03 The fundamentals of descriptive statistics/006 Categorical variables. Visualization techniques for categorical variables.en.srt
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14 Subtleties of regression analysis/079 Studying regression tables.en.srt
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03 The fundamentals of descriptive statistics/004 The various types of data we can work with.en.srt
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04 Measures of central tendency asymmetry and variability/020 Standard deviation and coefficient of variation.en.srt
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08 Confidence intervals advanced topics/046 Calculating confidence intervals for two means with independent samples (part 1).en.srt
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13 The fundamentals of regression analysis/071 Correlation and causation.en.srt
5.8 kB
01 Introduction/001 What does the course cover.en.srt
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06 Distributions/029 What is a distribution.en.srt
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11 Hypothesis testing Lets start testing/060 Test for the mean. Population variance unknown.en.srt
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04 Measures of central tendency asymmetry and variability/014 The main measures of central tendency mean median and mode.en.srt
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06 Distributions/033 Understanding the central limit theorem.en.srt
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15 Assumptions for linear regression analysis/086 A2. No endogeneity.en.srt
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06 Distributions/030 The Normal distribution.en.srt
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15 Assumptions for linear regression analysis/089 A5. No multicollinearity.en.srt
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04 Measures of central tendency asymmetry and variability/022 Calculating and understanding covariance.en.srt
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15 Assumptions for linear regression analysis/088 A4. No autocorrelation.en.srt
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04 Measures of central tendency asymmetry and variability/024 The correlation coefficient.en.srt
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03 The fundamentals of descriptive statistics/005 Levels of measurement.en.srt
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04 Measures of central tendency asymmetry and variability/016 Measuring skewness.en.srt
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15 Assumptions for linear regression analysis/085 A1. Linearity.en.srt
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03 The fundamentals of descriptive statistics/007 Categorical variables. Visualization techniques. Exercise.html
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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
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04 Measures of central tendency asymmetry and variability/017 Skewness. Exercise.html
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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
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