R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products.
This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.
This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts.
WHAT YOU WILL LEARN
Coursera
Discover the power of R programming with this introductory course designed for aspiring data scientists. Learn essential skills for analyzing data, developing software, and contributing to data science projects using R, the preferred language among professionals.
Coursera
Dive deep into the world of R programming with our Advanced R Programming course. Learn essential skills for developing sophisticated data science tools, including functional programming, error handling, object-oriented programming, profiling, benchmarking, debugging, and function design. Perfect for those looking to enhance their R expertise and create more efficient, reliable applications.
Coursera
Discover the art of organizing and distributing your R code with 'Building R Packages'. This course, offered by Coursera, will teach you how to maximize the usefulness and reusability of your data science software by adhering to community-based standards and providing a great user experience. Whether you're new to package development or looking to refine your skills, this course is designed for anyone who wants to share their R code effectively.
Coursera
Unlock the power of data visualization with our 'Building Data Visualization Tools' course. Designed for aspiring data scientists, this course equips you with the skills needed to develop cutting-edge visualization techniques that bring complex datasets to life. Perfect for those looking to enhance their data storytelling abilities and contribute to the data science revolution.