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Dataquest Blog
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, you'll learn one of most common operations used for manipulating DataFrames in R — adding columns.
In this tutorial, we'll cover how to append to a DataFrame in R — one of the most common modifications performed on a DataFrame.
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
Compare IaaS, PaaS, and SaaS, understand what each model manages, and choose the right cloud setup for your next project.
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.
08.04.2025
Explore statistics for data science by learning probability is, normal distributions, and the z-score — all within the context of analyzing wine data.
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.
In this tutorial, learn how to read files with Python. We'll teach you file modes in Python and how to read text, CSV, and JSON files.
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.
04.04.2025
Feeling unprepared for a data science interview? Learn expert strategies from Kishawna Peck to tackle technical, behavioral, and salary questions with confidence.
02.04.2025
Learn how to build a real-world NLP pipeline in PyTorch to classify tweets as disaster-related or not.
01.04.2025
R is a powerful programming language with many data science applications. In this tutorial, we go over how to install packages in R.
Elevate your career with top Probability skills - from basic Probability Fundamentals to complex algorithms like Naive. Start learning today!
28.03.2025
Investigate how demographics, safety, and academic programs relate to SAT scores in NYC high schools. This guided project helps you sharpen your Python skills while uncovering insights using real-world education data.
26.03.2025
This hands-on guide walks through building sequence models in PyTorch to predict cinema ticket sales and explains why order matters in data.
Learn the fundamentals of Kaggle and how to succeed in the Kaggle Titanic competition with this free tutorial.
Explore the differences between public, private, and hybrid cloud deployment models. Learn how each model impacts security, scalability, and cost—and how to choose the right one for your business.
Dataframes are essential data structures in the R programming language. In this tutorial, we'll discuss how to create a dataframe in R.
22.03.2025
Learn how to write a data resume that actually gets noticed. In this guide, data coach Kishawna Peck shares proven strategies to help your resume pass ATS filters, stand out to recruiters, and land interviews.
21.03.2025
Struggling to pick the right chart? In this tutorial, learn how to match your data questions to the best visualizations—so your insights are clear, compelling, and easy to understand.
15.03.2025
Learn how data journalism revealed the truth about inflated movie ratings and forced an industry giant to change its ways.
Python is one of the most powerful programming languages, mostly used in data science, machine learning, and big data analytics. So, knowing how to
12.03.2025
Learn to transform raw data into compelling data narratives. See how a simple shift in presentation can make all the difference.
Learn how to perform intermediate SQL tasks including setting up tables in PostgreSQL, views, subqueries and more.
11.03.2025
Many data science newcomers take data visualization techniques for granted. Why is it so important to plot a simple chart? Let us show you.
If you've already got the basics of iterating through lists, learn to use advanced Python for loops in pandas, numpy, and more!
Learn to write Python for loops with statements like break and continue to iterate through lists to clean and analyze large datasets quickly.
08.03.2025
What are GPT models? Discover how GPT models power AI chatbots, enabling smarter, personalized conversations across industries.
This post highlights why understanding AI chatbots is key for your career in 2024, and gives you a quick overview of our AI Chatbots course.