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R teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the course offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You’ll also master R’s extensive graphical capabilities for exploring and presenting data visually. And this expanded includes new lessons on forecasting, data mining, and dynamic report writing.
Working in a hands-on learning environment, led by our R expert instructor, students will learn about and explore:
Focusing on practical solutions, offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods.
You’ll also master R’s extensive graphical capabilities for exploring and presenting data visually.
this expanded edition includes new lessons on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.
Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below
Audience & Pre-Requisites
This course is designed for readers who need to solve practical data analysis problems using the R language and tools.
Pre-Requisites: Students should have
Course Agenda / Topics