The Dataquest Download

Level up your data and AI skills, one newsletter at a time.

Each week, the Dataquest Download brings the latest behind-the-scenes developments at Dataquest directly to your inbox. Discover our top tutorial of the week to boost your data skills, get the scoop on any course changes, and pick up a useful tip to apply in your projects. We also spotlight standout projects from our students and share their personal learning journeys.

Letter from Vik Paruchuri

I am excited to announce some updates on our leadership team with the addition of Celeste Grupman, CEO, Anna Pershyna, CTO, and Casey Bates, Technical Program Director. In the next year, Dataquest will expand its course offerings with a focus on AI literacy, add new assessment features, and continue  its mission to provide the best resources to learn data and technical skills online.

I started Dataquest to help anyone learn data science and programming the way I did – through hands-on projects and challenges. I led Dataquest for eight years, and we helped more than 1M students reach their goals. I’m excited for Celeste, Anna, Casey and the rest of our team to continue our mission and reach the next million.

While I have stepped away from working on Dataquest full time, I will continue as the Chairman of the Board, close advisor, and content contributor as I pursue working on AI research projects like Marker and Surya.

Keep learning,

Vik

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Community highlights

Project Spotlight

Sharing and reviewing others’ projects is one of the best things you can do to sharpen your skills. Twice a month we will share a project from the community. The top pick wins a $20 gift card!

This week, we bring you Dataquest learner Sarah Park’s Power BI project on Super Store analysis. Her project stands out for its exceptional visualizations, skillfully guiding viewers through key insights with both precision and visual appeal. Sarah’s ability to distill complex data into elegant, understandable charts exemplifies the power of effective data presentation.

Learner spotlight

High-fives from Vik, Celeste, Casey, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.

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Learn 30+ entry-level data engineering interview questions with SQL, Python, ETL, and system design, watch an AI assistant build, and join Community fixes. Read More

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