Essential R for Scientific Computing | Basics, Vectors, Dates, Using MadLib, Data Visualization & More
R is a functional programming environment for business analysts and data scientists. 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.
Geared for data scientists or engineers with potentially lighttechnical background or experience, R for Data Scientists is a hands-on R course that explores common scenarios that are encountered in analysis, and presents practical solutions to those challenges. Throughout the course, special attention is paid to data science theory including AI grouping theory. A discussion of using R with AI libraries like Madlib is also included. Students who want additional topics and extended hands-on exposure might consider the 5-day extended version of this course, Mastering R for Data Scientists.
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