The Vital Role of Statistics | Google Advanced Data Analytics Certificate

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.
Take the Certificate HERE: goo.gle/44xVblK
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
Subscribe HERE: bit.ly/SubscribeGCC
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The Power of Statistics | Google Advanced Data Analytics Certificate
• The Vital Role of Stat...

[@Xizoc-tl]

There is also an error in 1:23:26: It should read P(B|A)=0.95 (not P(A|B)). The equation is right a few seconds later

[@Xizoc-tl]

There is an error on the formula shown on 29:54, the denominator in the square root should be n - 1 and not n - 10

[@bhuvaneshwaricharate4464]

Easy and simple explanation 😊

[@JudgeFredd]

Very cool series

[@brendamg7298]

Nice

[@Xizoc-tl]

Bayes' Theorem is also wrong on 1:24:44

[@Ali-bk1hr]

Superb instructor. You should have used him for the linear regression course as well.

[@GoogleCareerCertificates]

We're glad you enjoyed his instruction!

[@oluwabeejhay]

This very very nie

[@bayou__]

Keren nih

[@jaggis4914]

Where can I find the datasets used in the exercises?

[@FarazAhmadDev]

You can find better datasets at kaggle

[@dna3469]

Is this course available in coursera too?

[@davidho1258]

yes.

[@vanjamsinnovation464]

Are the certificates free?

[@GoogleCareerCertificates]

To receive the certificate, you have to enroll on Coursera. The course is $49 a month after a 7 day free trial period.

[@FarazAhmadDev]

Free if you complete in first 7 days 😂😂

[@Hawkfeet]

There is financial aid if its accepted it will be for one course only There are 7 courses in total I think