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 a PyTorch NLP pipeline to classify tweets as real or fake disaster reports. Learn more
From the Community: Explore SQL projects, eBay car price analysis, Word Raider insights, and practical R workflows. Learn more
New Resource: Data Science Interview Prep Guide—expert tips for preparing, performing, and following up after interviews. Learn more
Text data is messy, unstructured, and packed with complexity—especially when it comes to making sense of tweets. In our latest tutorial, we guide you through building a PyTorch NLP pipeline that classifies tweets as real or fake disaster reports. Learn how to tokenize text, fine-tune pretrained models, and evaluate predictions without the heavy math.
From the Community
Customer & Product Analysis with SQL: Mohammad’s project showcases clean, professional SQL queries paired with detailed explanations—an excellent reference for SQL learners.
Exploring eBay Car Sales Data: Sarah’s deep dive into eBay car prices highlights sharp analytical skills and a thorough approach to extracting valuable insights.
Word Raider Project Lab Gist: Anna shares her solution notebook for the Word Raider project from the recent Project Lab Webinar. Follow along and compare notes!
Converting SQL Files to Jupyter Notebooks: Linky explains a practical workflow for turning .sql files into .ipynb notebooks for smoother analysis.
Handling Repeated Experiments in R: Raisa breaks down a probability task in R, highlighting pitfalls and offering practical solutions.
Python Online Notepads for Data Cleaning & Visualization: Raisa shares tips on using online notepads to enhance your Python workflow.
Preparing for an R Skill Test: Mariby is looking for advice on acing an R skill test—share your tips and resources!
DQ Resources
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
Analyzing NYC High School Data : In this guided project, explore correlations between SAT scores and factors like school safety, demographics, and academic programs in NYC high schools—using Python, pandas, and data visualization tools. Learn more
Crafting a Data Resume That Makes Recruiters Swipe Right (Data Coach Insights): Learn proven strategies to build a data resume that catches recruiters’ attention and helps you stand out in a competitive job market. Learn more
What We're Reading
Understanding How LLMs Work: Explore recent findings that reveal surprising complexities in how LLMs process rhyme schemes, strategic thinking, and more.
Build a Desktop Sticky Notes App with PySide6: Learn how to create a desktop sticky notes app using PySide6 for the GUI and SQLAlchemy for storing notes.
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