R Language Training in Stockholm

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats including HTML, PDF, and Word.
• Use parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Stockholm (online or onsite) is designed for data analysts and anyone interested in learning how to use 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.
• Derive insights through data visualization with Tableau.
• Drive business operations with data-informed decisions.

This instructor-led, live training in Stockholm (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.

Shiny is an R package that allows users to create interactive and dynamic web applications directly from R, eliminating the need for JavaScript knowledge or complex web frameworks.

This instructor-led live training (available online or onsite) targets intermediate R users who want to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

Upon completing this training, participants will be able to:

• Create interactive web applications using Shiny and R.
• Design user interfaces featuring reactive elements and dynamic inputs.
• Integrate data visualizations and reporting capabilities into Shiny applications.
• Deploy and share Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options for the Course

• To request tailored training for this course, please contact us to make arrangements.

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

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

• Effectively use Stata for data analysis and statistical modeling.
• Compare Stata’s functionalities with SPSS and R.
• Integrate Stata with R for seamless statistical computing.
• Develop and automate workflows using Stata and R.

R is a widely utilized, open-source environment for statistical computing, data analytics, and graphics. This course provides an introduction to the R programming language for students. It encompasses language fundamentals, libraries, and advanced concepts, along with practical data analytics and graphing techniques using real-world data.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and hands-on exercises

Data analytics plays a pivotal role in modern business. This course emphasizes the development of practical, hands-on data analysis skills, enabling participants to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Stockholm (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.

Big Data encompasses solutions designed for storing and processing extensive datasets. Originally developed by Google, these Big Data technologies have evolved and inspired numerous other initiatives, many of which are open-source. R is a widely used programming language within the financial sector.

This instructor-led, live training in Stockholm (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data 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.

This live, instructor-led training in Stockholm (available online or onsite) is tailored for data scientists who wish to utilize Python and R for KNIME programming.

By the conclusion 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.

This instructor-led live training, available online or on-site, targets data analysts who wish to apply Stata and R for the statistical analysis of big data.

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

• Develop statistical models to predict key variables of interest and significant events.
• Produce descriptive visualizations, summary tables, frequency distributions, and additional analytical outputs.
• Manage and structure large databases to effectively prepare for data analysis.

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

This instructor-led, live training in Stockholm (online or onsite) is designed for data scientists who wish to program 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.

Description:

This course empowers R users to build web applications without requiring knowledge of cross-browser HTML, JavaScript, or CSS.

Objective:

Explores the fundamental mechanisms behind how Shiny applications function.

Encompasses all frequently utilized input, output, rendering, and paneling functions available in the Shiny library.

This instructor-led, live training in Stockholm (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.