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We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which...

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Andrew Ng

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120,581 görüntüleme • 2 yıl önce •via X (Twitter)

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Rufus profil fotoğrafı
Rufus2 yıl önce

Cool, I will definitely enroll for this course.

Jay profil fotoğrafı
Jay2 yıl önce

This is awesome. I am definitely getting on this asap. Enjoyed your ML/DL courses on Coursera.

DE profil fotoğrafı
DE2 yıl önce

enrolled sir

Richard Buckley Watterson profil fotoğrafı
Richard Buckley Watterson2 yıl önce

Does has any plan to create yearly subscription or combine with Coursera plus?

iHope profil fotoğrafı
iHope2 yıl önce

i have the book “Fundamentals of Data Engineering", though not the knowledge

Rajeev Kumar profil fotoğrafı
Rajeev Kumar2 yıl önce

Good to hear!

Tais profil fotoğrafı
Tais2 yıl önce

Finally, a VPS service that puts customization in your hands! #GameChanger $TSAI #AI #ERC20 #ETH #NLP

naila huq profil fotoğrafı
naila huq2 yıl önce

👏

Hillary Kiptoo profil fotoğrafı
Hillary Kiptoo2 yıl önce

My current course, almost done with week 1.

Alexander De Ridder profil fotoğrafı
Alexander De Ridder2 yıl önce

Incredible. Data engineering empowers AI growth. Course looks promising.

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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!

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