Building Web Applications in R with Shiny Training Course

This instructor-led, live training in Latvia (online or onsite) is tailored for intermediate-level advanced R users aiming to leverage R to build faster workflows, enhance code quality, and handle complex analysis tasks.

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

This live, instructor-led training Latvia (conducted online or onsite) is tailored for beginner data analysts seeking to utilize R programming for data manipulation, conducting basic analysis, and creating persuasive visualizations to drive insights.

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

• Understand the fundamentals of R Programming.
• Apply essential data science processes.
• Create visual representations of data.

This live, instructor-led session, conducted Latvia either online or on-site, targets novice professionals seeking to cleanse and interpret data, formulate statistical predictions, and develop insightful visual aids using these instruments.

By the conclusion of the program, participants will be capable of:

• Comprehending the essentials of Python, R, Power Query, and Power BI for data analysis.
• Organizing and cleaning datasets through Python and Power Query.
• Conducting statistical reviews and projections with R.
• Constructing professional dashboards and reports in Power BI.
• Effectively merging and assessing data from diverse origins.

This live, instructor-led training in Latvia (available online or on-site) targets intermediate data analysts and business professionals looking to master time series forecasting and automate their data analysis workflows with R.

By the end of the course, participants will be capable of:

• Understanding the basics of forecasting techniques in R.
• Applying exponential smoothing and ARIMA models for time series analysis.
• Using the ‘forecast’ package to create accurate forecasting models.
• Automating forecasting workflows for business and research purposes.

This instructor-led live training in Latvia (delivered online or on-site) is tailored for data scientists seeking to integrate Python and R programming into KNIME.

By the end of this session, participants will be equipped to:

• Plan, construct, and deploy machine learning models using KNIME.
• Inform operational strategies through data-driven insights.
• Manage complete data science projects from start to finish.

This live, instructor-led training in Latvia (online or onsite) is tailored for intermediate to advanced computer science professionals looking to leverage Stata for statistical analysis and integrate it with R.

Upon completion, participants will be capable of:

• Employing Stata effectively for data analysis and statistical modeling.
• Assessing Stata's features compared to SPSS and R.
• Integrating Stata with R for smooth statistical computing.
• Building and automating workflows with Stata and R.

This live, instructor-led training (conducted online or on-site) is specifically designed for data analysts seeking to utilize Stata and R for statistical analysis of big data.

By the end of this session, participants will have the capability to:

• Construct statistical models for predicting key variables and significant events.
• Create descriptive visualizations, summary tables, and frequency reports.
• Manage and organize large databases to facilitate effective data analysis.

Upon completion of this program, participants will be equipped to:

This instructor-led, live session (delivered online or onsite) is designed for data scientists seeking to integrate R programming with Tableau.

• Integrate R into Tableau analytics workflows.
• Utilize R learning algorithms to return values to Tableau.
• Structure and visualize R functions within Tableau.
• Drive business operations through data-informed decision-making.

This live, instructor-led training, conducted in Latvia (online or onsite), is tailored for data analysts and professionals interested in integrating Tableau, Python, R, and SQL for data visualization and analysis.

By the end of the course, participants will be able to:

• Execute data analysis with Python, R, and SQL.
• Generate insights via Tableau data visualization.
• Drive business decisions based on data analytics.