The Dataquest Download
Level up your data and AI skills, one newsletter at a time.
Hello, Dataquesters!
Here’s what we have in store for you in this edition:
Top Read: Build your first Convolutional Neural Network (CNN) in PyTorch and detect pneumonia from chest X-rays. Learn more
From the Community: Want a faster way to calculate sample variances across multiple samples in R? See how one learner approached it. Join the discussion
New Resource: Practice your Python skills by exploring real-world trends in this Kaggle Data Science Survey project. Learn more
Build Your First Computer Vision Model in PyTorch
How do machines analyze X-rays or recognize faces? It all starts with Convolutional Neural Networks (CNNs). In this tutorial, you’ll build your first CNN in PyTorch to detect pneumonia from real chest X-ray images—learning essential concepts like feature extraction, convolutional layers, and model design along the way. If you’re curious about computer vision, this is the perfect place to start.
From the Community
Exploring Hacker News Posts: Marcin’s project features a well-defined research problem, clean code, and a deep dive into extra questions. A great project for anyone sharpening their data analysis skills.
Customers and Products Analysis with SQL: Mermoul built efficient SQL queries to answer clear business questions, exploring alternative approaches beyond the standard path.
Calculating Sample Variances in R: Raisa shares a faster, more concise way to calculate sample variances across multiple samples in R. No for loops needed!
Automating a 77-Sheet Excel Task with ChatGPT and VBA: Hamza automated a time-consuming Excel task using prompt engineering and VBA, proving that investing time upfront can save you hours later.
Looking for a Progress Partner: Vidyavrat is seeking a peer for pair learning—if you’re on a Dataquest career path and want extra motivation, reach out!
Kaggle Competition- Predict Heart Disease: Pastor launched a Kaggle competition in partnership with Dataquest. Build a model, share your solution, and compete for prizes! Join here
DQ Resources
Analyzing Kaggle Data Science Survey: Practice core Python skills like lists, loops, and conditionals while exploring trends in programming languages and compensation among data scientists. A great hands-on project to build your data analysis foundation. Learn more
Networking Tips for Aspiring Data Professionals: Learn actionable strategies on how to build meaningful connections and grow your network as a data professional, even if you’re just starting out. Learn more
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
What We're Reading
The Good Enough Truth: This editorial reflects on AI’s confident but sometimes inaccurate answers, raising the question of whether human expertise is still needed to determine the truth.
AI Outperforms Humans in Turing Test: OpenAI’s GPT-4.5 was mistaken for a human 73% of the time in a Turing test, suggesting AI can be even more convincing than real people in conversation.
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High-fives from Vik, Celeste, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.