The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.
Build awesome UIs and mobile apps with ReactJS.
Build secure web applications with Python.
If you share resources across your network or the cloud, you need a firm grasp of all of the security implications. In this Learning Path, you’ll get hands-on experience securing your infrastructure while learning about risk assessment and management, sensitive data, computer forensics, penetration testing, and much more. By the end of this course, you’ll know how to secure your data and keep it that way.
Use Less to level up your CSS skills.
Build robust production-ready web applications in Python.
There are a variety of useful applications for real-time data, including quick identification of general patterns and trends in data, performing sentiment analysis, crafting responses in real-time, and—perhaps one of the most important uses—when having analysis immediately will change the outcome of the situation. This Learning Path provides an in-depth tour of technologies used in processing and analyzing real-time data.