The Power of Statistics | Google Advanced Data Analytics Certificate
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This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You’ll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You’ll also learn how to use Python for statistical analysis and practice communicating your findings like a data professional.
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Get started with the course – 00:00
Descriptive statistics – 21:11
Calculate statistics with Python – 39:15
Review: Introduction to statistics – 49:16
Basic concepts of probability – 50:22
Conditional probability – 01:08:29
Discrete probability distributions – 01:25:51
Continuous probability distributions – 01:44:35
Probability distributions with Python – 01:58:32
Review: Probability – 02:08:47
Introduction to sampling – 02:11:14
Sampling distributions – 02:36:05
Work with sampling distributions in Python – 02:56:07
Review: Sampling – 03:06:45
Introduction to confidence intervals – 03:09:10
Construct confidence intervals – 03:26:38
Work with confidence intervals in Python – 03:40:39
Review: Confidence intervals – 03:48:10
Hypothesis testing – 03:50:40
One-sample tests – 04:04:15
Two-sample tests – 04:13:40
Hypothesis testing with Python – 04:30:39
Review: Introduction to hypothesis testing – 04:40:45
Apply your skills to a workplace scenario – 04:42:44
Portfolio project wrap-up – 04:46:52
Course review: The Power of Statistics – 04:49:30
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The Power of Statistics | Google Advanced Data Analytics Certificate
https://youtu.be/RjayA3jyXyo