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11. Time Series Data/7. Case Study DOW Theory.mp4 339.3 MB
7. Intrinsic Value/9. Jupyter Notebook Debt-to-Equity ratio.mp4 291.8 MB
10. Data Sources/4. Jupyter Notebook Pandas Datareader - Part I.mp4 261.5 MB
9. Visualization and Excel Export of Financial Data/5. Export to Excel - Part II.mp4 261.4 MB
12. Technical Indicators/10. Jupyter Notebook Exporting to Excel.mp4 257.6 MB
16. Finish Line/2. 3 Books to Read.mp4 243.0 MB
7. Intrinsic Value/16. Jupyter Notebook Revenue.mp4 241.9 MB
14. Correlation and Linear Regression/4. Jupyter Notebook Volatility Calculations.mp4 223.6 MB
10. Data Sources/9. Jupyter Notebook Web Scraping.mp4 221.9 MB
7. Intrinsic Value/7. Evaluate Leadership.mp4 215.5 MB
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11. Time Series Data/8. Jupyter Notebook Case Study DOW Theory.mp4 203.1 MB
5. Lemonade Stand/5. Jupyter Notebook The Lemonade Stand.mp4 202.8 MB
8. Matplotlib/10. Solutions.mp4 197.7 MB
12. Technical Indicators/4. Jupyter Notebook Simple Moving Average (MA).mp4 193.4 MB
5. Lemonade Stand/11. Jupyter Notebook Dividend.mp4 189.6 MB
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13. NumPy/4. Jupyter Notebook DataFrames and Series with NumPy.mp4 180.9 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
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8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
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6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
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