In this article, we shine a spotlight on the role of Data Engineer, based on information shared by industry coaches Nana Essuman and Femi Anthony during the Black and Brilliant AI Accelerator program.
Earlier this year, we partnered with Black and Brilliant to launch an Artificial Intelligence Accelerator program, aimed at upskilling the next generation of AI superstars.
We’re excited to share some of the key highlights from the program.
Isabella went from having a non-technical background to landing a spot in Google’s Summer of Code (GSoC) program as a Front-End Engineer. We spoke with her to learn more.
Here at Codecademy, one question we hear a lot is: “Do I have to be good at math to code?” To answer this question, we spoke with developers from the Codecademy team and our larger community to hear their thoughts on the topic.
Check out highlights from the Codecademy community’s Women in Tech Panel, featuring stories about successes and challenges in the tech industry, how the industry has changed for women, advice, and more.
To help you make learning a habit, we’ve put together some tips — including ones that our Codecademy for Teams learners and community members have shared with us — for staying motivated while learning to code.
C++ can be found just about everywhere you look. It powers search engines, VR applications, air travel, movie production, and even exploration on Mars! We’ll take a look at a variety of real-world applications.
Thinking about studying computer science? We spoke with Alex, a curriculum developer here at Codecademy, to find out more about the types of things you can do with a computer science degree.
When it comes to learning data science, a question we hear a lot is, “Should I learn R or Python first?” We’ll take a look at each language to help you decide which is right for you.
In this article, we’ll look at the differences between no-code and low-code. Plus, we’ll share some tools and resources to help you decide where to get started, with help from the team at Makerpad.