Get in Touch
 Duration 14 hours

Course Outline

Introduction to Shiny

  • What Shiny is and its operational mechanics
  • Installation and initial configuration
  • Browsing Shiny examples and the gallery

UI and Server Architecture

  • Understanding the ui.R and server.R components
  • Utilizing fluidPage(), sidebarLayout(), and other layout functions
  • Designing input and output elements

Reactivity and Dynamic Interactions

  • Reactive expressions and observers
  • Managing application behavior through reactive inputs
  • Troubleshooting reactivity issues

Data Visualization and Reporting

  • Integrating ggplot2 and plotly into Shiny apps
  • Creating reactive tables using DT or reactable
  • Producing downloadable reports with rmarkdown

Advanced UI and Customization

  • Incorporating tabs, conditional panels, and modals
  • Applying custom CSS and themes
  • Utilizing Shiny modules for code reusability

Deployment and Hosting

  • Publishing apps to Posit Cloud or Shinyapps.io
  • Executing apps locally and on Shiny Server
  • Managing dependencies and version control

Case Study and Application Design

  • Constructing a comprehensive dashboard from the ground up
  • Implementing interactive filters and user-driven insights
  • Best practices for performance, security, and scalability

Summary and Next Steps

Requirements

  • A solid grasp of R programming
  • Experience in data analysis or visualization
  • Familiarity with HTML and CSS is beneficial but not mandatory

Target Audience

  • Data analysts and scientists
  • R developers looking to create interactive dashboards
  • Researchers and educators visualizing data for public or internal stakeholders

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

I finally understood the idea of the pipes and how to use R in our work context.

Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA
Course - Forecasting with R

Upcoming Courses

Shiny App Web Development with R

2026-11-09 09:30
14 hours
Brasov, Calea Bucuresti Street
495 EUR (Online)
895 EUR (Classroom)

Shiny App Web Development with R

2026-11-23 09:30
14 hours
Sibiu
495 EUR (Online)
895 EUR (Classroom)

Shiny App Web Development with R

2026-12-07 09:30
14 hours
Cluj-Napoca, Pitești Street
495 EUR (Online)
895 EUR (Classroom)

Shiny App Web Development with R

2026-12-21 09:30
14 hours
Timisoara, Iosif Bulbuca Boulevard
495 EUR (Online)
895 EUR (Classroom)

Shiny App Web Development with R

2027-01-04 09:30
14 hours
Constanta, Mircea cel Batran Street
495 EUR (Online)
895 EUR (Classroom)

Shiny App Web Development with R

2027-01-18 09:30
14 hours
Iasi, City Center
495 EUR (Online)
895 EUR (Classroom)

Related Courses

Advanced R

 14 Hours

This instructor-led, live training in Romania (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

Read more...

Programming with Big Data in R

 21 Hours
Discover the core principles of Big Data programming using R, a language frequently utilized in the finance industry. This course in Romania guides you through environment configuration, the use of MPI for parallel processing, and the implementation of distributed matrices. You will learn to manage large-scale datasets, execute distributed regression analyses, and apply Monte Carlo methods with enhanced efficiency.
Read more...

Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led live training in Romania (online or onsite) is designed for beginner-level data analysts who wish to use R programming to manipulate data, perform basic analysis, and create compelling visualizations for insights.

By the end of this training, participants will be able to:

  • Understand the basics of R Programming.
  • Apply fundamental data science processes.
  • Create visual representations of data.
Read more...

Data and Analytics - from the ground up

42 Hours
This hands-on course in Romania establishes essential data analytics capabilities using Excel, VBA, and R. Learners will master data manipulation, visualization, and machine learning methods to predict trends, enhance process efficiency, and drive evidence-based business decisions.
Read more...

Data Analysis with Python, R, Power Query, and Power BI

 21 Hours

This instructor-led, live training in Romania (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

By the end of this training, participants will be able to:

  • Understand the basics of Python, R, Power Query, and Power BI for data analysis.
  • Clean and organize datasets using Python and Power Query.
  • Perform statistical analysis and projections with R.
  • Create professional dashboards and reports with Power BI.
  • Integrate and analyze data from multiple sources effectively.
Read more...

Data Analytics With R

 21 Hours
This practical course in Romania explores the fundamentals of R, focusing on data preparation and visualization through packages like ggplot2. Throughout the three-day program, participants delve into statistical modeling, regression analysis, and machine learning methods such as clustering and classification, applying these techniques to real-world data.
Read more...

Forecasting with R

 14 Hours

This instructor-led live training in Romania (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

By the end of this training, participants will be able to:

  • Understand the fundamentals of forecasting techniques in R.
  • Apply exponential smoothing and ARIMA models for time series analysis.
  • Utilize the ‘forecast’ package to generate accurate forecasting models.
  • Automate forecasting workflows for business and research applications.
Read more...

KNIME with Python and R for Machine Learning

 14 Hours

This instructor-led, live training in Romania (online or onsite) is designed for data scientists looking to program with Python and R in KNIME.

By the end of this training, participants will be able to:

  • Plan, build, and deploy machine learning models in KNIME.
  • Make data-driven decisions for operations.
  • Implement end-to-end data science projects.
Read more...

R Markdown for Dynamic Documents and Reproducible Reporting

 14 Hours
This instructor-led training in Romania explores the fundamentals of R Markdown for generating dynamic, reproducible reports. It empowers R users to build documents with code chunks, render outputs to HTML, PDF, and Word, and implement parameterized reports, themes, and LaTeX styling for professional, automated documentation.
Read more...

Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led live training in Romania (online or on-site) is designed for computer science professionals at the intermediate to advanced levels who wish to leverage Stata for statistical analysis and integrate it with R.

Upon completion of this training, participants will be able to:

  • Utilize Stata effectively for data analysis and statistical modeling.
  • Compare the functionalities of Stata with those of SPSS and R.
  • Seamlessly integrate Stata with R for enhanced statistical computing.
  • Create and automate workflows using both Stata and R.
Read more...

Statistical Analysis with Stata and R

 35 Hours

This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

By the end of this training, participants will be able to:

  • Create statistical models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to prepare for data analysis.
Read more...

Data Science with Tableau and R Programming

 14 Hours

Upon completion of this training, participants will be equipped with the following skills:

This instructor-led, live training in Romania (online or onsite) is designed for data scientists interested in programming in R for Tableau.

  • Implement Tableau analytics with R.
  • Return values to Tableau with learning algorithms in R.
  • Structure and visualize R functions in Tableau.
  • Make data driven decisions for business operations.
Read more...

Data Analytics with Tableau, Python, R, and SQL

 35 Hours

This instructor-led live training in Romania (online or on-site) is targeted at data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

By the end of this training, participants will be able to:

  • Conduct data analysis using Python, R, and SQL.
  • Generate insights through data visualization with Tableau.
  • Support business operations with data-driven decision-making.
Read more...

Building Web Applications in R with Shiny

 7 Hours
This Romania course enables R users to construct web applications using Shiny, eliminating the requirement for extensive HTML or CSS expertise. It addresses core concepts, UI customization, advanced reactive features, and data distribution, offering practical insights for building dynamic and interactive data-driven solutions.
Read more...

Related Categories

R Language
R Language