Introduction to R for Data Analytics

Neformālās izglītības programma "Introduction to R for Data Analytics"

Informācija par kursu

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.

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

[SVARĪGI] Pirms apmaksas veikšanas, pārliecinieties vai grupa ir nokomplektēta.

Kusa saturs

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

Reģistrācija ir obligāta!

kursi@tsi.lv, Transporta un sakaru institūts, Lomonosova iela 1 – 404.kab., Rīga, LV-1019, Latvija, tālrunis: (+371) 67100652