Introduction to Node.js provides a practical introduction to server-side JavaScript and backend development using Node.js. Participants will learn how to set up a Node.js environment, work with npm and built-in modules, create server-side applications, handle asynchronous operations, and apply modern JavaScript programming techniques. Through hands-on exercises, learners will build a strong foundation for developing, testing,...

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining. It's a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It's the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data and they've pushed Excel past its limits.