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Crash Course Statistics - Season 1 Episode 38 Intro to Big Data

Crash Course Statistics

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Crash Course Statistics

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Crash Course Statistics

Crash Course Statistics - Season 1 Episode 38 Intro to Big Data

Crash Course Statistics - Season 1 Episode 38 Intro to Big Data

Year: 2019
Genre:
Country: United States of America
Studio: YouTube
Director:
Cast: Adriene Hill
Crew:
Alternative Titles:
Keyword: mathematics, educational, statistics, statistician

Overview: Today, we're going to begin our discussion of Big Data. Everything from which videos we click (and how long we watch them) on YouTube to our likes on Facebook say a lot about us - and increasingly more and more sophisticated algorithms are being designed to learn about us from our clicks and not-clicks. Today we're going to focus on some ways Big Data impacts on our lives from what liking Hello Kitty says about us to how Netflix chooses just the right thumbnail to encourage us to watch more content. And Big Data is necessarily a good thing, next week we're going to discuss some of the problems that rise from collecting all that data.

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First Air Date: Jan 24, 2018 Last Air date: Jan 09, 2019 Season: 1 Season Episode: 44 Episode Runtime: 13 minutes Quality: HD IMDb: 2.00 / 10 by 1 users Popularity: 2.83 Language: English

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1. What Is Statistics2018-01-24
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2. Mathematical Thinking2018-01-31
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3. Mean, Median, and Mode: Measures of Central Tendency2018-02-07
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4. Measures of Spread2018-02-14
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5. Charts Are Like Pasta - Data Visualization Part 12018-02-21
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6. Plots, Outliers, and Justin Timberlake: Data Visualization Part 22018-02-28
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7. The Shape of Data: Distributions2018-03-07
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8. Correlation Doesn’t Equal Causation2018-03-14
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9. Controlled Experiments2018-03-21
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10. Sampling Methods and Bias with Surveys2018-03-28
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11. Science Journalism2018-04-11
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12. Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection2018-04-18
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13. Probability Part 1: Rules and Patterns2018-04-25
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14. Probability Part 2: Updating Your Beliefs with Bayes2018-05-02
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15. The Binomial Distribution2018-05-09
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16. Geometric Distributions and The Birthday Paradox2018-05-16
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17. Randomness2018-05-23
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18. Z-Scores and Percentiles2018-05-30
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19. The Normal Distribution2018-06-06
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20. Confidence Intervals2018-06-13
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21. How P-Values Help Us Test Hypotheses2018-06-27
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22. P-Value Problems2018-07-11
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23. Playing with Power: P-Values Pt 32018-07-18
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24. You Know I’m All About that Bayes2018-07-25
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25. Bayes in Science and Everyday Life2018-08-01
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26. Test Statistics2018-08-08
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27. T-Tests: A Matched Pair Made in Heaven2018-08-15
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28. Degrees of Freedom and Effect Sizes2018-08-22
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29. Chi-Square Tests2018-08-29
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30. P-Hacking2018-09-05
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31. The Replication Crisis2018-09-26
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32. Regression2018-10-03
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33. ANOVA2018-10-10
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34. ANOVA Part 2: Dealing with Intersectional Groups2018-10-17
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35. Fitting Models Is like Tetris2018-10-24
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36. Supervised Machine Learning2018-10-31
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37. Unsupervised Machine Learning2018-11-07
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38. Intro to Big Data2018-11-14
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39. Big Data Problems2018-11-21
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40. Statistics in the Courts2018-11-28
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41. Neural Networks2018-12-12
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42. War2018-12-19
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43. When Predictions Fail2019-01-02
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44. When Predictions Succeed2019-01-09
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