It’s time to talk about the different data engineering projects you might work on as you enter the exciting world of data. You can add these projects to your portfolio and show the best ones to future employers. Remember, the world’s most successful engineers all started where you are now.
Artificial intelligence (AI) isn’t going to steal your data scientist job! Instead, AI tools like ChatGPT can automate some of the more mundane tasks in your future career, saving you time and energy. To make life easier, here are some data science prompts to get you started.
You’ll hear the same things about data science time and time again—that you can get an entry-level position making six figures, you’ll never be out of work and it’s one of the most sought-after careers in the world. But one thing nobody mentions is how stressful this career can be at times. So, how stressful is it really?
Data Science suffers from underrepresentation of certain communities, including the LGBTQIA+, which can result in biased models. Learn how we can do better for all.
Database design, data modeling, and ETL top our list of most in-demand data engineering skills for 2022. See what else companies are looking for.
Without a proper data pipeline, your machine learning faces wait times & data discrepancies. Learn about 10 technologies you should use to build your pipeline.
Data science is the backbone of informed decision-making in companies. It is a discipline that gathers, analyzes, and makes sense of large data sets. Data science is a large field that encompasses a wide range of tasks and those on a data science career path need to be versed in many areas, so let’s dig deeper into the 4 most important aspects of data science.
While many companies regularly recruit data scientists and data analysts, the precursor—data engineering—seems to be a forgotten role, and that’s a big problem.
