R

Analyze, communicate, and design your own sophisticated and interactive web applications using the R (v 3.4) Shiny (1.1.0) package

Develop and run efficient R scripts and predictive models for SQL Server 2017

Build rich and collaborative applications using client-side code with React, Redux, and Firebase

Harness the power of React Native to build 4 real-world apps

Understand how machine learning works and get hands-on experience of using R to build algorithms that can solve various real-world problems

Learn to write servers and network clients using Rust’s low-level socket classes with this guide

Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications

Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.

Solve real-world data problems with R and machine learning

Unleash the power of the Raspberry Pi 3 board to create interesting IoT projects

Discover how project Reactor enhances the reactive programming paradigm and allows you to build scalable asynchronous applications

A comprehensive guide in developing and deploying high performance microservices with Rust

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills

Explore powerful R packages to create predictive models using ensemble methods

Learn how to write cross platform React Native code by using effective design patterns in the JavaScript world. Get to know industry standard patterns as well as situational patterns. Decouple your application with these set of 'Idea patterns'.