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Technologies / Data & Analytics

Introduction to data analysis with R language

A training course designed to introduce participants to the world of programming and data analysis using the R language. The training combines theory with practice, enabling participants to learn basic programming skills and tools for effective data analysis and visualization. The training emphasizes practical applications of R in real-world analytical scenarios.

Issues

  • R and RStudio development environment

  • Basic data structures in R

  • Operations on data sets

  • Tidyverse packages for data analysis

  • Advanced visualization with ggplot2

  • Fundamentals of functional programming

  • Descriptive statistics and statistical inference in R

  • R code optimization and debugging

  • Integration of R with other analytical tools

This training is part of the path:

Benefits

  • Understand the basics of programming in R
  • Ability to manipulate data effectively
  • Ability to create advanced visualizations
  • Fundamentals of statistical analysis using R
  • Practical experience working with real data
  • Knowledge of best practices in R programming

Who is this training for?

Data analysts getting started with R
Scientists and researchers looking to use R in their work
Business professionals interested in data analysis
Science and economics students

Prerequisites

  • Basic knowledge of statistics
  • General knowledge of data analysis
  • Experience with spreadsheets (e.g. Excel)
  • Basic knowledge of programming in any language is welcome

Training program

01

R syntax basics and data types

  • R syntax basics and data types
  • Operations on vectors and matrices
  • Data structures: lists and data frames
02

Importing and exporting data

  • Importing and exporting data
  • The basics of data manipulation with the dplyr package
  • Data visualization using ggplot2
03

Fundamentals of functional programming in R

  • Fundamentals of functional programming in R
  • Create custom functions
04

Introduction to statistical analysis in R

  • Introduction to statistical analysis in R
  • Practical workshop: analysis of a real data set
  • Best practices and optimization of R code

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Your Learning Path

Introduction to data analysis with R languageCurrent training

Frequently asked questions

Who is the Introduction to data analysis with R language training for?

This training is designed for professionals looking to develop skills in introduction to data analysis with r language. Required level: beginner.

How long is the Introduction to data analysis with R language training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Kamil Gabryszewski
Kamil Gabryszewski Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

500+ experts
2500+ trainings available
ISO 9001 quality certified
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