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:
Webinar Recording: Learn how to write advanced SQL queries that turn raw data into strategic business insights. Watch now
Top Read: Discover how to use LLMs like ChatGPT and Claude to make your data insights clear, audience-ready, and actionable—fast. Learn more
From the Community: Explore financial data with Nasdaq’s API, simplify GitHub workflows, and sharpen your understanding of permutations, combinations, and Python arguments. Join the discussion
New Resource: Use K-means clustering for customer segmentation for your next project. Explore now
Webinar Recording
Missed our last webinar? Catch the recording of the SQL project where Anna Strahl walks through how to use advanced SQL queries to analyze the Chinook record store’s data. You’ll learn to extract insights using joins, subqueries, and aggregate functions—turning raw data into actionable business recommendations.
How do you communicate your message so your audience understands it and takes action? You’ve built the chart. You’ve found the insight. But how do you make sure your message actually lands? This tutorial shows you how to use LLMs like ChatGPT and Claude to translate insights into plain language, tailor them for different audiences, and brainstorm headlines, emails, and summaries—fast!
From the Community
Exploring Financial Data with Nasdaq API: Steve shared a well-structured report featuring clear steps and easy-to-read visuals that summarize key financial insights.
New Repos & SQL in Notebooks: Alla offers two helpful resources—how to create a GitHub repo and how to run SQL in Jupyter Notebooks.
Combinations vs. Permutations: Raisa clears up common confusion around these concepts in probability, especially when sampling without replacement.
Positional vs. Keyword Arguments: Raisa explains the differences, shows when to use each, and how to avoid related coding pitfalls in Python.
DQ Resources
Customer Segmentation Using K-Means Clustering: Discover how to group customers by behavior and demographics using K-means clustering. Learn to identify key segments, unlock actionable insights, and target your marketing more effectively. Learn more
Cloud Providers – AWS, Azure, GCP: Explore the strengths, key services, and pricing models of AWS, Azure, and Google Cloud. This guide compares and contrasts the major cloud providers, helping you understand, choose, and get hands-on with today’s leading platforms for your next cloud project. Learn more
What We're Reading
Matplotlib Alternatives That Save You Time: Tired of wrestling with Matplotlib? This article introduces 5 Python libraries that help you build faster, cleaner data visualizations with less effort.
Claude 4 Launches “World’s Best Coding Model”: Anthropic releases Claude 4, claiming it’s the top coding model in the world, with major improvements in reasoning, speed, and accuracy.
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High-fives from Vik, Celeste, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.