Non-formal Education Programme "Introduction to R for Data Analytics"
R is established as one of leading programming languages for data analytics. Today R is a tool of choice for many professionals in different industries. This introduction to R course will help you to start working in R environment and obtain a solid background for further progress in data analytics. The course starts from the basic syntax of R commands and lead you to your first data analysis in R.The course is organized as a continuous practicing of your newly acquired skills.
The course is designed to provide a quick and efficient introduction to R environment and develop participants' practical R programming skills. The course is best suited for software developers, who want to dive into the data science & statisticians and data analytics, who want to get acquainted with R.

Course Information

Start date of course: 09.09.2022
Duration: 4 weeks (16 ac. hours)
Schedule: Fridays, 18:15 - 21:15 *
* Course dates may change if the group is not completed
Place: Lomonosova Street 1, Riga
Instructor: Dr.sc.ing. Dmitry Pavlyuk
Language of the Course: English
Introduction to R for Data Analytics
Price: 250 €

General information

Aim of the course

The course is designed to provide a quick and efficient introduction to R environment and develop participants' practical R programming skills. The course is best suited for:

  • Software developers, who want to dive into the data science
  • Statisticians and data analytics, who want to get acquainted with R

Prerequisites

  • Computer proficiency
  • Programming experience (any language) is highly recommended
  • Background in statistics is beneficial, but not required

Learning outcomes

  • Obtain practical skills of R programming
  • Apply core techniques of data processing
  • Use R for data visualization
  • Run classical models and present the results

Session 1. Basics of R programming

  • How it works (introduction to R console and RStudio)
  • Coding basics and variable types in R
  • Installing third-party packages
  • Vectors and lists
  • Basic programming structures (conditions, loops, functions)

Session 2. Handling data

  • Data frames
  • Importing data
  • Data pipes (tidyverse library)
  • Managing data (arranging, filtering, summarizing)
  • Descriptive statistics and grouped summaries

Session 3. R visualization tools

  • Basic plots (charts, scatters, histograms)
  • ggplot2 library
  • Aesthetic mappings
  • 2D and 3D plots
  • Plotting spatial data

Session 4. Basic data analytics in R

  • Model basics
  • Model building
  • Predictions
  • Running and understanding basic models
  • Visualizing models and their results

Hurry up to apply! The number of participants in the group is limited - maximum 12 people!

To Apply

For more information please write to kursi@tsi.lv, Transport and Telecommunication Institute, Lomonosova Street 1 - Room 404, Riga, LV-1019, Latvia, phone: (+371) 67100535, (+371) 29389408

contact us

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