Building Web Applications in R with Shiny Training Course

This instructor-led, live training in Norway (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.

This instructor-led, live training in Norway (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 guided, live training in Norway (available online or at your location) targets professionals at the beginner level who want to learn how to clean and analyze data, forecast statistical trends, and generate meaningful visual representations using these tools.

Upon completing this training, attendees will be capable of:

• Gaining foundational knowledge of Python, R, Power Query, and Power BI for data analysis.
• Cleaning and organizing datasets using Python and Power Query.
• Executing statistical analysis and forecasting with R.
• Developing professional dashboards and reports using Power BI.
• Effectively integrating and analyzing data from various sources.

This instructor-led live training in Norway (online or onsite) is intended for intermediate-level data analysts and business professionals seeking to perform time series forecasting and automate data analysis workflows using R.

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

• Grasp the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Leverage the 'forecast' package to create accurate forecasting models.
• Automate forecasting workflows for business and research applications.

This instructor-led live training in Norway (online or onsite) is targeted at data scientists who wish to utilize 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 in Norway (online or onsite) is designed for intermediate to advanced computer science professionals aiming to leverage Stata for statistical analysis and integrate it with R.

Upon completion of this training, participants will be capable of:

• Utilizing Stata effectively 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.

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

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

• Develop statistical models to predict key variables and events.
• Create descriptive visualizations, summary tables, frequency distributions, and more.
• Manage and structure large databases to prepare for data analysis.

Upon completing this training, participants will be able to:

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

This instructor-led live training in Norway (online or onsite) is designed for data analysts and professionals 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.