Python for Data Analysis: Confidence Intervals

This video covers the basics of making point estimates and creating confidence intervals in Python.
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This is lesson 23 of a 30-part introduction to the Python programming language for data analysis and predictive modeling. Link to the code notebook below:
Python for Data Analysis: Confidence Intervals
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This guide does not assume any prior exposure to Python, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn Python.
I will create the videos for this guide such that you should be able to learn a lot just watching on TH-cam, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can copy and edit each lesson so that you can follow along and run code yourself.
Introduction to Python Playlist:
• Python for Data Analysis
Link to the Python for Data Analysis written guide index page:
www.kaggle.com... .
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[@trerogers8169]

For anyone having issues with the yerr argument (yerr must not contain negative numbers), replace top,bot with bot,top (how the confidence intervals are formatted).

[@delianaw7051]

thank you Sir🙏

[@muhammadmalik8979]

Thank u for creating entire incredible series.

[@jiachengwu4185]

This is the brush up I need!!!

[@amnonphenome-networks2980]

Great vid. I like how in each one he starts very relaxed and finishes excited through the roof

[@EthanCycles]

This entire series is incredibly well done. Thank you for your time creating these! I'll be sure to share with friends and colleagues that may have questions.

[@awaisahmad5908]

wow Great explanation

[@narendra742]

Very nice explanation, it really helped me to understand the concepts more easily. Appreciate for your efforts.

[@Richard4red]

When estimating the intervals for proportion why we didn't use T distribution since the std sqrt(p*(1-p)) is of the sample and not of the population?

[@ThomasTay]

Nicely explained.

[@jongcheulkim7284]

Thank you very much. This is very helpful. I like your simulation method greatly. Thank you.

[@25BDominique2021]

This was a very helpful video. Thanks for sharing!

[@mohammedabduh9360]

You are amazing! Thank you

[@karlduckett]

Great video! Thanks for sharing!

[@danielhaas6804]

Amazing video! Helped me a lot

[@mohammedsaheer4700]

Good one

[@hallielam]

please make more videos!

[@SaqibAlikhantanoli]

It is a great video. Can you please do a video on calculating confidential interval using Chi-squared values?

[@samuelthomaz]

amazing !!!!