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: Why “vibe coding” with AI can derail your learning and how to avoid the trap. Read the blog
Webinar Recording: Walk through a project on retrieving and analyzing financial data with the Nasdaq API. Watch the recording
Community Highlights: From deep learning models predicting IPO gains to practical dbt tutorials, Power BI tips, and SQL lessons learned. Join the discussion
What We’re Reading: How OOP is shaping AI agents, practical color theory for better dashboards, and more. Read more
Are You Vibe Coding Without Realizing It?
Copy, paste, run and your AI-generated Python script works. Feels like progress, right? Until your manager asks for a small change and you realize you can’t comprehend a single line. That’s vibe coding—relying on AI to produce results you don’t fully understand. In this article, we break down why vibe coding sabotages real learning, how it shows up in portfolios and interviews, and the hidden costs it creates for data learners.
Webinar Recording
The recording is now live. Watch this full project walkthrough to learn how to retrieve and analyze financial data using Python and the Nasdaq Data Link API to uncover market trends and insights essential for investment strategies.
From the Community
TensorFlow Functional API Model for Listing-Gain Prediction in Indian IPOs: Dimitar shared a deep learning project that represents a polished and highly professional report featuring meticulous data preparation, clear narrative, engaging visualizations, and optimized code.
Exploring eBay Car Sales Data: Rohan shared a data analysis project that stands out for its clean code and concise, straight-to-the-point storytelling, which effectively delivers the findings throughout the project.
Helpful Resources for Data Scientists—Especially Career Changers: Qi shared a bunch of diverse, insightful resources and tips, particularly valuable for career changers in data science. He also conveyed his hard-earned vision of an efficient learning approach and how you can increase your chances for career success in data science.
Limitations/Next Steps Ideas for Your Projects: Alla gave a few interesting suggestions on what you can cover in the Limitations/Next Steps sections of your projects to make your work stand out from the crowd.
Using dbt for Data Analytics and Management: Israel and Ian provided a solid and comprehensive introduction to what the dbt tool is, what it’s applied for, how it works, how to get started with it, and how it supports version control and collaboration.
Sleep Data Visualization: Monica is planning a personal project using SQL and Tableau to analyze and visualize her sleep data, and invites you to share your thoughts and related project experience.
How Solving Real Business Problems Took My SQL Skills Further: Linky published an insightful tutorial based on his personal SQL project. Beyond technical depth, this work shows the importance of consistency, dedication, and perseverance. A must-read for all SQL learners, and not only!
The Most Useful Power BI Visualization Tools: Pranta reviewed both basic and lesser-known Power BI charts, explaining when each is most suitable. He emphasized that the best dashboards rely on the right visuals, not the fanciest ones.
What We're Reading
Applying OOP to AI Agentic Systems: How encapsulation, inheritance, and polymorphism can make AI agents more modular, scalable, reusable, and flexible, bringing classic OOP discipline to agent design.
Color Theory in Data Analysis & Visualization: Practical color principles to turn charts and dashboards into clear, memorable stories—improving comprehension and recall.
DQ Resources
Build a Web Interface for Your Chatbot with Streamlit: Learn how to transform a command-line chatbot into a professional web app using Streamlit. This hands-on tutorial shows you how to add interactive controls, customizable personalities, and deploy your chatbot online, all without HTML, CSS, or JavaScript. By the end, you’ll have a deployed web app that demonstrates your AI and user-facing development skills.
Build an AI Chatbot with Python and the OpenAI API: A hands-on tutorial that shows you how to build a fully functional chatbot from scratch in Python. You’ll learn to manage conversations, control costs with token budgeting, and design custom AI personalities that persist across exchanges. By the end, you’ll have both a working chatbot and the foundational skills to create more advanced AI applications.
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High-fives from Vik, Celeste, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.