Training Introduction to the R language – from basics to advanced techniques
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: Data and analytics
- TRAINING CODE: IT-ST-22
- DURATION: 3 days
- PRICE INFORMATION from: 3750 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
The training provides a systematic introduction to R programming, guiding participants from basic concepts to advanced data analysis techniques. The program is delivered through a combination of theoretical lectures and intensive hands-on workshops where participants solve real-world analytical problems. Special emphasis is placed on the development of practical programming skills and an understanding of best practices in data analysis.
Participant profile
- Beginning data analysts
- Research and analysis specialists
- Researchers beginning their work with R
- Business department employees interested in data analysis
- Statisticians switching to R
- Analytical students
- Programmers looking to expand skills
- Reporting specialists
Agenda
- R language basics
- RStudio development environment
- Data types and structures
- Features and packages
- Data operations
- Data processing
- Importing and exporting data
- Cleaning and transformation
- Aggregation and grouping
- Merging datasets
- Analysis and visualization
- Descriptive statistics
- Basic charts
- Advanced visualizations in ggplot2
- Interactive dashboards
- Programming in R
- Custom functions
- Functional programming
- Code optimization
- Package creation
Benefits
The participant will gain the ability to independently create analytical scripts in R language from scratch. He or she will learn to efficiently process and analyze data from various sources. Will develop the ability to create advanced visualizations using popular libraries. He will learn methods to optimize code and increase analysis performance. Will be able to create custom functions and packages in R. Will master functional programming techniques and best practices in R.
Required preparation of participants
- Basic knowledge of statistics
- Logical analytical thinking
- Ability to work with a computer
- Fundamentals of algebra
Issues
- RStudio environment
- Data structures in R
- Data manipulation
- Functional programming
- Data visualization
- Statistical analysis
- Package creation
- Code optimization
- Reporting of results
- Best practices
- Debugging the code
- Version control
Do you have any questions?
Feel free to contact us.
Justyna Kalbarczyk
+48 516 098 221
justyna.kalbarczyk@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
Forms of training delivery
Stationary training
- Training at the customer's premises or at a designated location
- Training room equipped with the necessary equipment
- Training materials in electronic form
- Coffee breaks and lunch
- Direct interaction with the trainer
- Networking in a group
- Workshop exercises in teams
Remote training
- Virtual training environment
- Electronic materials
- Interactive online exercises
- Breakout rooms for group work
- Technical support during the training
- Recordings of the session (optional)
Possibility of funding
The training can be financed with public funds under:
- National Training Fund (KFS)
- Development Services Base (BUR)
- EU projects implemented by PARP
- HR Academy Program (PARP)
- Regional operational programs
If you are interested in funding, our team will help you prepare the required documentation.
HAVE A QUESTION?
Contact us for more information about our training, programs and cooperation. We will be happy to answer all your inquiries!
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Do you have any questions?
Feel free to contact us.
Justyna Kalbarczyk
+48 516 098 221
justyna.kalbarczyk@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
- One-pager invitation with deadlines
- Project kick-off
- Strategic leadership and thinking
- Communication and Cooperation. Conflict management
- Motivating, engaging and difficult decisions in business
- Managing Change and Innovation. Leadership in crisis
- Building the organization of the future
- Best practices workshop - retrospective; creating a coherent program for middle and lower management levels























