Get in Touch
 Duration 7 hours

Course Outline

  1. Introduction to Shiny

  2. Installing Shiny for local usage

  3. Fundamental Shiny concepts

    1. Basic controls - Buttons, sliders, and dropdown menus
    2. Program architecture: ui.r, server.r
    4. Executing your application

  4. Interface customization

    1. HTML links within Shiny
    2. Integration of JavaScript with Shiny

  5. Advanced controls

    1. Toggling the visibility of UI elements
    2. Dynamic user interfaces
    3. Complex reactivity
    4. Animation
    5. Data upload and download

  6. Distributing Shiny web applications

  7. Overview of Shiny extensions

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (2)

Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.

Pranay - Lotterywest
Course - Building Web Applications in R with Shiny

it was informative and useful

Brenton - Lotterywest
Course - Building Web Applications in R with Shiny

Upcoming Courses

Building Web Applications in R with Shiny

2026-11-23 09:30
7 hours
Bratislava CBC
590 EUR (Online)
790 EUR (Classroom)

Building Web Applications in R with Shiny

2026-12-07 09:30
7 hours
Bratislava CBC
590 EUR (Online)
790 EUR (Classroom)

Building Web Applications in R with Shiny

2026-12-21 09:30
7 hours
Bratislava CBC
590 EUR (Online)
790 EUR (Classroom)

Building Web Applications in R with Shiny

2027-01-04 09:30
7 hours
Bratislava CBC
590 EUR (Online)
790 EUR (Classroom)

Building Web Applications in R with Shiny

2027-01-18 09:30
7 hours
Bratislava CBC
590 EUR (Online)
790 EUR (Classroom)

Related Courses

Advanced R

 14 Hours

This instructor-led, live training in Slovakia (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
Delve into the core concepts of Big Data programming in R, a language widely used in finance. This course in Slovakia guides you through environment configuration, implementing MPI for parallel processing, and working with distributed matrices. You will acquire the skills to manage large datasets, execute distributed regression analyses, and leverage Monte Carlo methods effectively.
Read more...

Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led live training in Slovakia (online or onsite) is tailored for beginner-level data analysts who aim to use R programming to manipulate data, perform fundamental analyses, 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 Slovakia course establishes core data analytics competencies utilizing Excel, VBA, and R. Learners will acquire proficiency in data manipulation, visualization, and machine learning techniques to predict trends, refine processes, 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 Slovakia (online or onsite) is designed for beginner-level professionals looking to clean and analyze data, generate statistical forecasts, and produce insightful visualizations using these tools.

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

  • Grasp the fundamentals of using Python, R, Power Query, and Power BI for data analysis.
  • Clean and organize datasets utilizing Python and Power Query.
  • Conduct statistical analysis and forecasting with R.
  • Develop professional dashboards and reports using Power BI.
  • Effectively integrate and analyze data from diverse sources.
Read more...

Data Analytics With R

 21 Hours
This practical course on Slovakia focuses on the fundamentals of R, covering data preparation and visualization using packages such as ggplot2. Over the course of three days, participants will delve into statistical modeling, regression analysis, and machine learning techniques, including clustering and classification, applied to real-world data.
Read more...

Forecasting with R

 14 Hours

This instructor-led, live training in Slovakia (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 Slovakia (online or onsite) is aimed at data scientists who wish to program in Python and R for 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 program in Slovakia focuses on the core principles of R Markdown for creating dynamic and reproducible reports. It empowers R users to build documents with executable code chunks, generate outputs in HTML, PDF, and Word formats, and apply parameterized reports along with themes and LaTeX styling to achieve professional, automated documentation.
Read more...

Shiny App Web Development with R

 14 Hours
This live Shiny training conducted in Slovakia enables intermediate R users to create interactive web apps without relying on JavaScript. Acquire skills in designing reactive UIs, integrating visualizations, and deploying applications. Build practical competencies for creating dynamic dashboards and reports with efficiency.
Read more...

Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led, live training in Slovakia (online or onsite) targets intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

Upon completing this training, participants will be capable of:

  • Effectively employing Stata for data analysis and statistical modeling.
  • Comparing Stata’s functionalities with those of SPSS and R.
  • Integrating Stata with R to enable seamless statistical computing.
  • Developing and automating 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 completing this training, participants will be able to:

This instructor-led, live training located in Slovakia (online or on-site) is designed for data scientists interested in programming in R for Tableau.

  • Implement Tableau analytics using R.
  • Pass values back to Tableau using R-based learning algorithms.
  • Structure and visualize R functions within 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 Slovakia (online or onsite) is designed for data analysts and professionals interested in learning how to utilize and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

  • Conduct data analysis using Python, R, and SQL.
  • Generate insights through data visualization in Tableau.
  • Drive business operations with data-informed decisions.
Read more...

Related Categories

R Language
R Language