Dong: “Dataquest Helped Me Get a Job I Love”

After 4 years of working in postdoc positions, Dong Zhou was starting to re-evaluate academia. “It’s not a real job in terms of compensation and stability. I decided to quit postdoc and try working in industry.” Dong started to explore learning software development and data science. “I started off trying to learn with books, but I […]

How to get a data science job

You’ve done it. You just spent months learning how to analyze data and make predictions. You’re now able to go from raw data to well structured insights in a matter of hours. After all that effort, you feel like it’s time to take the next step, and get your first data science job. Unfortunately for […]

Whats New in v1.10: Answer diffs, Improved Q&A!

Along with our two new data visualization courses (Exploratory Data Visualization and Storytelling Through Data Visualization) our latest release includes two major features designed to make your life easier — enhanced Q&A and answer diffing. Introducing: Output & Variable Diffing When you’re learning to code, it can be frustrating to be stuck on an exercise […]

What’s New in Dataquest v1.9: Console, hotkeys, and more!

Whenever you send us feedback or an ideas for a feature, we read and catalogue your suggestions. We then use this to help planning features and improvements for Dataquest. Today we’re excited to launch two of our most-requested features: Hotkeys and a Python Console. Introducing the Python console Many of you have told us that […]

NumPy Tutorial: Data analysis with Python

Don’t miss our FREE NumPy cheat sheet at the bottom of this post NumPy is a commonly used Python data analysis package. By using NumPy, you can speed up your workflow, and interface with other packages in the Python ecosystem, like scikit-learn, that use NumPy under the hood. NumPy was originally developed in the mid […]

Franco: “Dataquest helped me become a Data Scientist.”

While working as a Human Resources Analyst, Franco used Excel to analyze data. “We found that our employees were staying late to avoid traffic”, he explains. “After realizing this, we created different work schedules. This let employees select their schedules to better meet their needs.” While the outcome of their analysis was useful, their team of […]