The Dataquest Download
Level up your data and AI skills, one newsletter at a time.
Hello, Dataquesters!
Here’s what we have for you in this edition:
Top Read: Discover 12 practical ways to reset your learning this September and celebrate Self-Improvement Month the Dataquest way. Read post
Community Highlights: From automating bioinformatics tasks to building app market insights, see how peers are applying their data skills. Join the discussion
What We’re Reading: The state of Python in 2025, AI’s role in Industry 4.0, and lessons from six years in ML. Learn more
September isn’t just “back to school” season—it’s also when people feel most motivated to reset and refocus. For data learners and career switchers, it’s the perfect time to set clear learning goals, carve out study time, and build momentum with quick projects. In this article, we share 12 practical ways to celebrate Self-Improvement Month the Dataquest way, from tracking your progress like a dashboard to joining our 7-Day Growth Challenge for accountability and support.
From the Community
Python and Bash Scripts for Solving Bioinformatics Tasks: Artur automated data preparation tasks with Python and Bash scripts, saving hours of manual work. Clean, optimized, and well-documented, they’re a great example of applying coding to real research.
Predicting Heart Disease Risk with Data-Driven Insights: Kannadoss built an end-to-end machine learning project that included data exploration, model tuning, and data storytelling, reaching an accuracy of 86.35%.
Profitable App Profiles for the App Store and Google Play Markets: Elena analyzed app market data to identify the most promising categories. Her project shines with thorough analysis, clear structure, and actionable conclusions.
Using Travel Data for Data Science Projects: A community thread invites you to share ideas on how travel-related datasets (flights, hotels, Airbnb, rides) can fuel exciting data science projects.
Project Tutorials
Star Wars Survey Analysis Using Python and Pandas: Learn how build professional-quality visualizations that tell a compelling story about Star Wars fandom, demonstrating how proper data cleaning and thoughtful visualization design can transform raw survey data into stakeholder-ready insights. Learn more
Finding Heavy Traffic Indicators on I-94: Learn how to build multiple visualizations that tell a comprehensive story about traffic patterns, demonstrating how exploratory data analysis can reveal insights that summary statistics alone might miss. Learn more
What We're Reading
The State of Python 2025: JetBrains’ report shows how Python is used today, with FastAPI rising, outdated runtimes lingering, and insights into which tools/skills matter most now.
AI and Industry 4.0: A comprehensive overview of AI modeling as a driver of Industry 4.0, transforming industries and economies with automation, intelligence, and smart computing.
Lessons from 6.5 Years in ML: A practitioner shares practical lessons learned in ML, from deep work and data analysis to embracing trial and error. A candid guide for growing your ML skills.
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High-fives from Vik, Celeste, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.