The scoop on 'the world's sexiest profession' including tips for launching a career, how to tell stories with data, and the state of the job market.
Let’s delve into the courses that could help you take your data skills to the next level and get hired as a data scientist.
This article addresses key aspects of any data science job that beginners should understand before committing to the field.
Our list of some of the most common technologies, words, and phrases used in data science.
A successful enterprise in the digital age needs to be data and analytics driven, and that’s where the field of data science comes in.
In this article, we’ll take a closer look at the overlapping areas and the specific differences between data science and computer science.
Data science and machine learning are interconnected, but if you're interested in a career in data science, it's important to know the difference.
Gain an understanding of the differences between software engineering and data science.
See the major differences between data scientists and data engineers, with a focus on their roles and responsibilities, educational backgrounds, and salaries.
In the modern digital world, terms like data science and artificial intelligence are often used interchangeably—but they’re not the same thing.
Learn the differences between a career in data science vs business analysis. See what it takes to excel in both industries.
If you’re interested in data science, you'll need to stay up to date and refine your data skills. We've got a reading list to get you started.
Two insider perspectives from one of our Technical Experts, and a Thinkful grad who’s now working as a full-time data scientist. Find out what they do on the job, and why they love their careers in data.
Read on to find the most useful reference guides for Python, SQL, machine learning and even linear algebra.