Category Archives for "Dataquest Updates"
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How to Use Dataquest

Dataquest’s learning platform is user-friendly enough that if you’d like to, you can simply dive right in. But if you’re the type who likes to flip through the user manual first, this article is for you. In it, we’re going to cover the basic features of the Dataquest platform, and pass along some helpful tips […]

Learning Python for Data Science the Right Way

Last week, we launched a totally revamped version of our introductory Python course. Now, we’re doing the same for our intermediate Python course. Say hello to Python for Data Science: Intermediate! The new course is available now, and just like the introductory Python course, it’s completely free. This course has been carefully designed to build […]

Learn Python for Data Science from Scratch

It’s virtually impossible to succeed at anything without a solid understanding of the fundamentals. That’s why we take particular care in ensuring that our introductory courses, the gateways to data science, are as well-crafted as possible. Today, we’re announcing the re-launch of our introductory Python course, Python for Data Science: Fundamentals. It’s available right now, […]

An Intro to Deep Learning in Python

Deep learning is a type of machine learning that’s growing at an almost frightening pace. Nearly every projection has the deep learning industry expanding massively over the next decade. This market research report, for example, expects deep learning to grow 71x in the US and more than that globally over the next ten years. There’s […]

Learn to do Data Viz in R

One of the reasons that R is a top language for data science is that it’s great for data visualization. R users can take advantage of the wildly popular ggplot2 package to turn massive data sets into easily-readable charts in just a few lines of code. That can be incredibly valuable for presenting your data, […]

How to Start Learning R for Data Science

In the world of data science, R is an increasingly popular programming language for a reason. It was built with statistical manipulation in mind, and there’s an incredible ecosystem of packages for R that let you do amazing things – particularly in data visualization – that would be much more difficult in Python. But R […]