R Programming Training in Delft

This instructor-led live training in Delft (online or onsite) targets 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:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Delft (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 empowers users to create interactive and dynamic web applications directly within the R environment, eliminating the need for JavaScript expertise or familiarity with complex web frameworks.

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

Upon completing this training, participants will be capable of:

• Creating interactive web applications utilizing Shiny and R.
• Designing user interfaces featuring reactive components and dynamic inputs.
• Integrating data visualization and reporting capabilities into Shiny applications.
• Deploying and sharing Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options

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

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

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

• Utilize Stata effectively for data analysis and statistical modeling.
• Compare Stata’s capabilities with those of SPSS and R.
• Integrate Stata with R to enable smooth statistical computing.
• Develop and automate workflows utilizing both Stata and R.

R is a widely used, open-source environment designed for statistical computing, data analytics, and graphical representation. This course provides an introduction to the R programming language, covering fundamental syntax, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Software Developers / Data Analysts

Duration

3 days

Format

Lecture-based instruction combined with practical hands-on exercises

This instructor-led, live training in Delft (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 the storage and processing of massive datasets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous other projects, many of which are available as open-source software. R has become a widely adopted programming language within the financial sector.

This instructor-led, live training in Delft (online or onsite) targets 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 instructor-led live training in the Netherlands (online or on-site) 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.

This instructor-led live training, offered online or onsite, targets data analysts looking to employ Stata and R for the statistical analysis of big data.

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

• Build statistical models to predict key variables and events of interest.
• Produce descriptive visualizations, summary tables, frequency distributions, and other analytical outputs.
• Manage and structure large databases to prepare them for robust data analysis.

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

This instructor-led, live training in Delft (online or onsite) is aimed at 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 is designed to equip R users with the skills to build web applications without requiring prior knowledge of cross-browser HTML, JavaScript, or CSS.

Objective:

Provides a comprehensive understanding of the fundamental mechanics of Shiny applications.

Explores the full range of commonly utilized input, output, rendering, and paneling functions within the Shiny library.

This instructor-led, live training in Delft (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.