Using R in Data Science

With the digital revolution, software tools is becoming ever more important for Data Science.

R is a free object-oriented software environment for statistical computing and graphics, and has become the tool of choice in many environments over recent years, when it comes to data science.

R has advanced levels of flexibility in statistical computing that promotes the design of analysis exactly as you want it, and state of the art graphics capabilities.

This course takes the participants all the way from the very basics to advanced data handling and graphics in three intensive days.

The course provides:

• A natural progressive comprehension of the R environment, where the knowledge is built up from simple calculator applications to interactions with other software and construction of semi-advanced graphics.
• A guided tour to setting up your own data analysis in R, take data in and take results out.
• Hand-on exercises with practical issues in data science, letting you familiarize yourself with the programming environment.
• A platform to explore uses of R within you own field.

Who is this course for?

This course is designed for people with an interest in data analysis, both those with little or no experience in software tools for data science, and those who wish to investigate a new or alternative tool for their established expertise in other languages, like t. ex. SAS.

Basic programming experience is not needed, but will of course easy the learning. An interest for applying analytical software is essential.

This course is developed and taught by DTU Compute.