Loading video...

Video Failed to Load

Go Home

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...

118,937 views • 1 year ago •via X (Twitter)

10 Comments

Rufus's profile picture
Rufus1 year ago

Cool, I will definitely enroll for this course.

Jay's profile picture
Jay1 year ago

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

DE's profile picture
DE1 year ago

enrolled sir

Richard Buckley Watterson's profile picture
Richard Buckley Watterson1 year ago

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

iHope's profile picture
iHope1 year ago

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

Rajeev Kumar's profile picture
Rajeev Kumar1 year ago

Good to hear!

Tais's profile picture
Tais1 year ago

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

naila huq's profile picture
naila huq1 year ago

👏

Hillary Kiptoo's profile picture
Hillary Kiptoo1 year ago

My current course, almost done with week 1.

Alexander De Ridder's profile picture
Alexander De Ridder1 year ago

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

Related 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 views • 1 year ago