Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

14,296 Aufrufe โ€ข vor 1 Jahr โ€ขvia X (Twitter)

11 Kommentare

Profilbild von Tim_data
Tim_datavor 1 Jahr

This was so insightful

Profilbild von Dr Shad Katuu ๐ŸŒ
Dr Shad Katuu ๐ŸŒvor 3 Jahren

"AF01 Research survey data โ€“ 2017" InterPARES Trust - Team Africa

Profilbild von Londoner
Londonervor 1 Jahr

Nice work Starboy

Profilbild von Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌ
Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌvor 1 Jahr

Thank you ๐Ÿ˜Š

Profilbild von Chibest ๐Ÿฆโ€๐Ÿ”ฅ
Chibest ๐Ÿฆโ€๐Ÿ”ฅvor 1 Jahr

This is nice boss. The explanations are simply to the point ๐Ÿ‘Œ

Profilbild von Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌ
Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌvor 1 Jahr

I am glad you like it ๐Ÿ˜Œ

Profilbild von Arman
Armanvor 1 Jahr

Well explained in detail

Profilbild von Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌ
Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌvor 1 Jahr

Thank you ๐Ÿ˜Š

Profilbild von Edu
Eduvor 1 Jahr

Looking out for collaborative analytical projects where I can be of help. HIt me up if you need a support system on the side.

Profilbild von Akanbi Omo Opeloyeru
Akanbi Omo Opeloyeruvor 1 Jahr

Nice one. What should be the sample size before deciding on z or t statistics for unknown population variance? I have seen a place where size is <30 we should apply t-stat while in another I saw when size is <50.

Profilbild von Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌ
Abefe - the statistics guyโœ๏ธ๐Ÿ“š๐Ÿ˜Ž๐Ÿ‡ณ๐Ÿ‡ฌvor 1 Jahr

30 is a good one. But 50 is better.

ร„hnliche Videos

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

84,686 Aufrufe โ€ข vor 1 Jahr