What is a data architect?
Which programming languages should a data architect learn?
What is the difference between a data architect and a data engineer?
How do I become a data architect?
Do I need to go to university to become a data architect?
How much does a data architect earn?
What software does a data architect need to know how to use?
Is a data architect a good career?
Is a data architect the same as a data engineer?
Courses for Data Architects
Introduction to Databases in Python
Building Data Engineering Pipelines in Python
How to Become a Data Scientist in 8 StepsFind out everything you need to know about becoming a data scientist, and find out whether it’s the right career for you!
YOLO Object Detection ExplainedUnderstand YOLO object detection, its benefits, how it has evolved over the last couple of years and some real-life applications.
5 Ways to Use Data Science in MarketingDiscover five ways you can use data science in marketing. Get ahead of the game, improve your data skills, and work on a data science marketing project.
How Data Science is Changing SoccerWith the Fifa 2022 World Cup upon us, learn about the most widely used data science use-cases in soccer.
The Deep Learning Revolution in Space Science
Justin Fletcher joins the show to talk about how the US Space Force is using deep learning with telescope data to monitor satellites, potentially lethal space debris, and identify and prevent catastrophic collisions.
Regular Expressions Cheat SheetRegular expressions (regex or regexp) are a pattern of characters that describe an amount of text. Regular expressions are one of the most widely used tools in natural language processing and allow you to supercharge common text data manipulation tasks. Use this cheat sheet as a handy reminder when working with regular expressions.
DataCamp Team •