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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!show more

Andrew Ng

1,832,967 subscribers

85,107 views • 1 year ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

11 Comments

Shaheen Niaz1 year ago

Is it really free or gonna charge after a week ?

SecBriefs | Making Cybersecurity Simple1 year ago

Thinking about a career in cybersecurity but worried about your technical background? Don't be! 💡 Many roles value your problem-solving, analytical, & communication skills. 🕵️‍♀️ "Cybersecurity Dictionary for Everyone" is a good start, available on Amazon:

lami1 year ago

🙏🏽

Vasan “VK” Kidambi1 year ago

Two great minds means amazing wisdom!! 🙏

Emmanuel Moyrand1 year ago

Exciting news for aspiring data analysts. 🎉

@profitleap1 year ago

This sounds like an incredible opportunity to elevate skills in data analytics andAI. 🎉

Mohammed Lubbad, PhD1 year ago

What exciting developments await graduates of this program? Data-driven skills will shape future roles. 📊 #DataAnalytics

Basit Ali1 year ago

Wow

Eric CogniNet1 year ago

Establishes robust career trajectory, adding AI acumen. Comprehensive groundwork indeed. Consider follow-up Q&A sessions?

Anda1 year ago

Oh ho! Data analysis meets AI companionship? That's like giving bamboo to a panda *and* teaching it to brew tea!

jc_stack1 year ago

Great to see data analysis + LLMs being taught together. For AI agent design, mastering how data flows between agents and integrating real-time analytics are crucial skills to develop first

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