Data aggregation and transformation with the R package tidyverse

This 8-hour course is designed for data and business analysts, researchers, auditors, and other professionals with little background in the R programming language who want to develop a deeper understanding of the principles of clean data, practical skills in aggregating and transforming data using the R package tidyverse.

Course duration, academic hours: 8
Price (excl. VAT) 250,00 
Price (with VAT): 302,50 
Lecturer: Didzis Elferts

Plans

05. June, 2024
Place:
RĪGA, Dzirnavu iela 140
Language:
lv
Lecturer:
Didzis Elferts
Price (excl. VAT)
250,00 
Price (with VAT):
302,50 
Contact us

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Training schedule:
05.06.2024 09:00-16:15
Course target

The aim of the course is to develop an in-depth understanding of the principles of clean data and practical skills in data aggregation and transformation using the R package tidyverse.

 

Audience
  • Data analysts;
  • Risk and business analysts;
  • Economists;
  • Researchers;
  • Auditors;
  • Business controllers.
At Course Completion you will be able to:
  • Cleaning data to prepare it for further processing;
  • Aggregate data, calculate different indicators by dividing data into groups;
  • Select observations and variables;
  • Modify data table formats, create new variables and modify existing ones;
  • Merge multiple data tables.
Prerequisites

Basic R skills – creating commands and importing data.

Training materials

BDA-developed training materials and practical examples.

Certification Exam

Not intended.

Course outline
  • The concept of clean data;
  • Pipe operator use;
  • Packages included in the R package tidyverse, their applications;
  • Data format change – long and wide format tables;
  • Working with text;
  • Aggregating data and calculating different indicators by dividing data into groups;
  • Creating new variables and modifying existing variables;
  • Selection of observations and variables;
  • Combining multiple data tables into one table.

If you want to get more information about this course, contact us by phone +371 67505091 or send an e-mail at mrn@bda.lv.