The Dataquest Download

Level up your data and AI skills, one newsletter at a time.

Each week, the Dataquest Download brings the latest behind-the-scenes developments at Dataquest directly to your inbox. Discover our top tutorial of the week to boost your data skills, get the scoop on any course changes, and pick up a useful tip to apply in your projects. We also spotlight standout projects from our students and share their personal learning journeys.

Hello, Dataquesters!

Here’s what we have for you in this edition:

Top Read: Orchestrate reliable data pipelines with Apache Airflow. Learn DAGs, tasks, operators, the scheduler, and event-driven triggers. Read the blog

Community Highlight: Set a SMART goal, get started with Jupyter, find study partners, grab storytelling book picks, and use a handy regex to strip punctuation. Join the thread

What We’re Reading: How AI is reshaping jobs and upskilling paths, plus a computer vision tutorial that extracts Sudoku grids using classical techniques. Learn more

Cron jobs and patchwork scripts only go so far. When data pipelines grow, you need orchestration that runs tasks in the right order, at the right time, and recovers when things fail. This tutorial uses Apache Airflow to show how modern workflow orchestration actually works in practice. You’ll learn core concepts like DAGs, tasks, operators, the scheduler, and event-driven triggers, and see why orchestration is the backbone of scalable and reliable data engineering.

From the Community

Set Your Clear SMART Goal: Alina explains the concept of setting SMART goals and invites you to share your own goal using this framework.

Working with Jupyter Notebook: Alla shared a helpful, beginner-friendly guide on how to install and use Jupyter Notebook on your local machine.

Connecting with Your Fellow Learners: Linky encourages Dataquest learners to join his thread to link up, build meaningful connections, and grow together. Whether you’re looking for a study buddy, a mentor, or just someone to share progress with, this is the right space for you.

Storytelling Resources: Juan shared a collection of books that help develop an underrated but crucial skill in data science—data storytelling.

Removing All Punctuation: Alla provided a regular expression that keeps only letters and numbers while removing all punctuation from text columns.

What We're Reading

How AI Is Affecting the Job Market—and How Workers Can Adapt: AI is reshaping roles and career paths. See where automation hits hardest, what new opportunities are emerging, and how to upskill to stay competitive.

Sudoku Extraction with Classical Computer Vision: In this hands-on tutorial, learn how to build a Sudoku grid detector using edge detection, contour approximation, and three methods for ordering polygon corners—just like document scanners do.

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High-fives from Vik, Celeste, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.

2025-10-16

Learn ML from 80,000 data points

Learn Airflow to orchestrate data pipelines, explore SMART goals and community projects, and see how AI is reshaping jobs. Read More
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SQL breaks—MongoDB adapts

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