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.

Hello, Dataquesters!

Here’s what we have in store for you in this edition:

Top Read: Confused by IaaS, PaaS, and SaaS? Learn how to choose the right cloud service model for your project with real-world examples. Learn more

From the Community: Explore financial data with Anselm, enhance projects with SQL window functions, and meet our newest Learning Assistants. Join the discussion

New Resource: Analyzing Helicopter Prison Escapes Using Python—a beginner-friendly guided project from data collection to visualization. Start project

IaaS vs PaaS vs SaaS: What You Really Need to Know

When building in the cloud, how much you manage matters just as much as where you host. Should you spin up servers yourself or just write code and let someone else handle the rest? Our latest tutorial breaks down the three major cloud service models: IaaS, PaaS, and SaaS so you can choose the right one for your project. Packed with real-world examples and clear takeaways, it’s a must-read for devs navigating cloud decisions.

From the Community

Evaluating Data Quality for BSE Market: Anselm’s end-to-end project dives into complex financial data with detailed analysis, clean code, and clear outputs. It is a great example of independent work.

Northwind Traders Analysis with SQL Window Functions: Linky combines SQL, Python, and visuals to uncover insights with a smooth narrative and compelling figures.

Community No-Lose Lottery Winner: See who won this round and don’t miss your chance to join the next iteration!

Meet the New Learning Assistants: Check out the latest updates in the Learning Assistant program and learn how to get involved.

Understanding List Comprehensions: Raisa and Idan break down why list comprehensions are often a cleaner, faster alternative to for loops.

Identifying Low Stock Products with SQL: Saber enhances a guided project with a clever SQL query to spotlight high-performing products low on stock.

DQ Resources

Analyzing Helicopter Prison Escapes Using Python: This beginner-friendly project walks you through a complete data analysis workflow. You’ll learn how to collect data from Wikipedia, clean it, perform basic analysis, and visualize your findings. Learn more

Data Science Interview Prep Guide: Get expert tips for succeeding in data science interviews—covering preparation, performance, and follow-up strategies. Learn more

Introduction to Cloud Deployment Models : Learn how public, private, and hybrid cloud models work, and how to choose the right one for your business based on security, cost, and scalability needs. Learn more

What We're Reading

Is It a Bird? Build Your Own Image Classifier: A short but detailed tutorial on building a computer vision model to classify images using your own dataset.

AI Will Boost, Not Replace Coders: Sam Altman shares how AI will enhance developers’ productivity rather than replace them, predicting up to a 10x boost.

Give 20%, Get $20: Time to Refer a Friend!

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

2025-05-14

How Data Analysts Write Prompts That Actually Work

Explore GitHub tools, build ML models predicting heart disease risk, and craft precise prompts to boost clarity and results from AI. Read More
2025-05-07

Struggling to Pick a Cloud Platform? Start Here

Build a Wordle-style game, track Hacker News trends, and optimize your Python workflow with top Dataquest projects. Plus, compare AWS, Azure, and GCP by services and use cases. Read More
2025-04-30

Build Your First Computer Vision Model in PyTorch

Explore learner-led Python and SQL projects, a faster way to calculate sample variances in R, and a new Kaggle survey analysis to sharpen your data skills. Read More

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