Getting started with R
Getting started with R (3 days)
R has become one of the most popular languages for data science and an essential tool for analytics-driven companies. Millions of statisticians and data scientists use R to solve their most challenging problems in fields ranging from computational biology to quantitative marketing. R includes virtually every data manipulation, statistical model, and chart that the modern data scientist could ever need. You can easily find, download and use cutting-edge community-reviewed methods in statistics and predictive modeling from leading researchers in data science, free of charge.
This course provides fundamentals of the R programming language. It covers all you need to know to get started with R quickly and easily. You will learn to use R to read data, access, manage and manipulate data, solve problems, save programs and data, use conditional logic, combine files, produce tables and listings of data, and use data analysis techniques.
- Getting started & introduction to R
- Data Management
- Data types
- Importing, reading and writing of data
- Indexing, filtering and assigning
- Summary functions
- Grouping and sorting
- Missing value treatment
- Combining, wrangling, integration and renaming of data
- Working with date, time and datetime datatypes
- Looped processing & working with variables
- Data Visualization with ggplot2
- Basic Statistics
- Introduction to Machine Learning Techniques
- Introduction and basic principles
- Supervised Learning
- Unsupervised Learning
- Model interpretation & evaluation techniques
Who should attend
Data Scientists, statisticians, mathematicians, business analysts, market researchers, and information technology professionals who want to get started with R and need to make better use of their data.
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