Tag: Resources

Python Online Practice: 67 Free Ways to Improve Your Skills

Getting good Python practice can help solidify your coding skills. Here are some of the best resources for practicing Python:

54 Best Data Science Books in 2022 (Vetted by Experts)

Learn Python, R, machine learning, social media scraping, and much more from these free data science books you can download today.

How Long Does It Really Take to Learn Python? (2022 Version)

Are you ready to learn Python for Data Science? With the right program, habits and structure you can master it more quickly than you might think.

The Best Way to Learn SQL (According to Seasoned Devs)

What’s the best way to learn SQL? With all of the resources available, learning SQL the “right way” can be difficult. Finding the best way to learn SQL is tricky because everyone learns things differently. But, after training tens of thousands of students — seeing what works and what doesn’t — we’ve come up with […]

SQL Commands: The Complete List (w/ Examples)

What can you do with SQL? Here’s a reference guide to the most commonly-used SQL commands, with code examples.

SQL vs MySQL: A Simple Guide to the Differences

SQL and MySQL are important tools for working with data. But what are they, exactly, and how are they different? Let’s clear that up.

Pandas Cheat Sheet — Python for Data Science

Download a free pandas cheat sheet to help you work with data in Python. It includes importing, exporting, cleaning data, filter, sorting, and more.

The 17 Best Free Tools for Data Science

Make sure you’re not missing any of the best free tools for data science work, including the top R and Python packages as well as great free software.

How to Gather Your Own Data by Conducting a Great Survey

In this post, we’ll learn to create an online survey and how to prevent some common mistakes made in surveys. We’ll cover all steps of the survey process, including: Selecting a population Sampling methods Making a data analysis plan Writing good questions Distribution options Data Scientists know that even the slickest code, the best data […]

11 Design Tips for Data Visualization

Here’s an important fact that’s easy to forget: our data is only as helpful as it is understandable. Most of the time, making data understandable means creating some kind of data visualization. And while a simple bar graph might cut it for internal work, making your data both visually understandable and visually attractive can help […]

Top 20 Python AI and Machine Learning Open Source Projects

Getting into Machine Learning and AI is not an easy task, but is a critical part of data science programs. Many aspiring professionals and enthusiasts find it hard to establish a proper path into the field, given the enormous amount of resources available today. The field is evolving constantly and it is crucial that we […]

An In-Depth Style Guide for Data Science Projects

Data science projects are becoming more important in the world of data analysis, so it’s important to understand best practices and styles for data science projects.

What’s New in Dataquest v1.85: Takeaways, Intermediate R, and More

We’re always working on ways to help you learn and keep you motivated — from new features, to celebrating student stories. In this post, we give you a quick overview of what we’ve released recently, and what’s coming up. Takeaways Programming is comprised of many small actions and concepts, and it can be hard to […]

Regex Cheat Sheet: A Quick Guide to Regular Expressions in Python

Keep this PDF Python cheat sheet nearby anytime you need to use regular expressions for your data science work, as a quick, handy reference.

Data Science Terms and Jargon: A Glossary

Getting started in data science can be overwhelming, especially when you consider the variety of concepts and techniques a data scienctist needs to master in order to do her job effectively. Even the term “data science” can be somewhat nebulous, and as the field gains popularity it seems to lose definition. To help those new […]