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.

Course Outline

  • 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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