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Dataquest Blog
12.08.2025
Learn to analyze messy survey data with Python and pandas using real Star Wars fandom results, uncovering trends, rankings, and demographics.
08.08.2025
Learn advanced Docker Compose techniques like health checks, multi-stage builds, non-root users, and secure configs for production pipelines.
29.07.2025
Learn how to use Python data visualization to uncover traffic patterns on I-94, identifying rush hours, seasonal trends, and travel times.
Learn how to simplify multi-container data workflows with Docker Compose. Build a local ETL pipeline connecting Python and PostgreSQL.
11.07.2025
Deploy Airflow to AWS with ECS Fargate. Build a custom Docker image, run workflows in the cloud, and manage tasks without local dependencies.
09.07.2025
Learn how to analyze large datasets with limited memory. Optimize CSVs, reduce memory usage, and query data using pandas and SQLite.
07.07.2025
Analyze large datasets with PySpark using SQL. Learn to register views, write queries, and combine DataFrames for flexible analytics.
02.07.2025
Learn how Spark DataFrames simplify structured data analysis in PySpark with schemas, transformations, aggregations, and visualizations.
28.06.2025
Learn how Docker simplifies software setup by running PostgreSQL in a container. Quickly build isolated, and reproducible environments.
27.06.2025
Master PySpark's core RDD concepts using real-world population data. Learn transformations, actions, and DAGs for efficient data processing.
21.06.2025
Set up Airflow on AWS with S3, RDS, IAM, and ALB. Learn to build a secure, reliable, and scalable ETL pipeline beyond your local environment.
Learn how PySpark processes big data efficiently using distributed computing to overcome memory limits and scale your Python workflows.
18.06.2025
Get hands-on with Snowflake. Learn how to load data, run SQL queries, manage warehouses, and monitor usage in this cloud data tutorial.
14.06.2025
Predict medical insurance costs using linear regression. Analyze health data, transform variables, and validate with residual analysis.
03.06.2025
Learn how to set up Apache Airflow with Docker locally to automate ETL workflows, manage dependencies, and streamline development.
31.05.2025
Learn how AWS, Azure, and GCP differ, and how to choose a cloud provider that best aligns with your business goals.
30.05.2025
Explore the Chinook database, analyze market trends, evaluate employee performance, and gain strategic business insights using SQL queries.
27.05.2025
See how AI data science is transforming careers. Learn how combining AI tools with core data skills creates valuable career opportunities.
22.05.2025
Learn how to use Large Language Models (LLMs) to quickly translate complex data insights into clear, actionable messages for any audience.
15.05.2025
Master customer segmentation with K-means clustering, covering exploratory data analysis, feature transformations, and interpreting clusters.
14.05.2025
Apply prompt engineering to generate, categorize, and analyze realistic survey data, extracting structured insights for downstream analysis.
13.05.2025
Build a machine learning project as you predict heart disease in patients, achieving over 80% accuracy with Python skills.
08.05.2025
Learn prompt engineering techniques to improve accuracy, speed, and structure in your data tasks using tools like ChatGPT and Claude.
06.05.2025
Practice Python loops, conditionals, and file I/O by building a Wordle-style game. Reinforce key programming concepts with this fun project.
30.04.2025
Compare AWS, Azure, and GCP to understand their core services, pricing models, and strengths. Learn how to choose the right cloud provider for your projects.
29.04.2025
Boost your AI career with essential command line skills. Learn to navigate, automate, and manage projects efficiently.
25.04.2025
This tutorial covers how to declare the string data type, the relationship with the ASCII table, and some important methods and operations.
Analyze a Kaggle data science survey using basic Python skills like lists and loops. Learn how experience impacts salary and which languages data scientists use.
24.04.2025
In this tutorial, we'll cover how to append to a DataFrame in R — one of the most common modifications performed on a DataFrame.
In this tutorial, you'll learn one of most common operations used for manipulating DataFrames in R — adding columns.
23.04.2025
How much time have you spent watching The Office on Netflix? Find out with this entry-level tutorial on analyzing your own Netflix usage data!
22.04.2025
This beginner-friendly PyTorch tutorial covers CNN components, model architecture, and shape debugging with real-world medical data.
Continue your computer vision project in PyTorch by preparing X-ray data, training your CNN, and evaluating model performance.
18.04.2025
Learn how to grow your data career by building authentic connections, finding mentors, and engaging with communities. Actionable tips from Kishawna Peck’s Data Career Masterclass.
16.04.2025
Transform your charts into powerful communication tools with a three-level framework that focuses on purpose, clarity, and accessibility in data visualization.
12.04.2025
Scrape Wikipedia data, clean it with Python, and uncover surprising insights into helicopter prison escapes—while sharpening your core data analysis skills.
09.04.2025
Unit tests in Python are for testing small pieces of code, typically a single function, referred to as a unit. Here's how to use them.
Compare IaaS, PaaS, and SaaS, understand what each model manages, and choose the right cloud setup for your next project.
08.04.2025
Python data structures are critical to any modern application. Here's what you need to know about how they work and how to use them.
Learn how to do descriptive statistics in Python with this in-depth tutorial that covers the basics (mean, median, and mode) and more advanced topics.