Online R Language Training in Argentina

R Markdown serves as an authoring framework that integrates executable R code with narrative text to produce dynamic and reproducible documents.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate R users who want to create automated, dynamic reports using R Markdown for purposes such as internal documentation, research publications, or web publishing.

Upon completing this training, participants will be capable of:

• Developing R Markdown documents that include embedded R code chunks and properly formatted text.
• Producing output in various formats, including HTML, PDF, and Word.
• Leveraging parameterized reports and conditional logic to create dynamic content.
• Customizing the visual appearance of documents through themes, templates, and LaTeX to ensure a professional presentation.

Course Format

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

Course Customization Options

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

This instructor-led live training in Argentina (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 completing 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-based decisions.

This instructor-led, live training in Argentina (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 within R, eliminating the need for JavaScript expertise or complex web frameworks.

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

Upon completing this training, participants will be able to:

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

Training Format

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

Customization Options

• To request tailored training for this course, please contact us to arrange your needs.

This instructor-led, live training in Argentina (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-used, open-source environment designed for statistical computing, data analytics, and graphical representation. This course provides students with an introduction to the R programming language, covering fundamental concepts, key libraries, and advanced topics. Participants will learn to perform advanced data analytics and create visualizations using real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on

In today's business landscape, data analytics serves as an essential instrument. This course emphasizes cultivating practical, hands-on skills in data analysis. Our primary goal is to empower participants to provide evidence-based responses 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 Argentina (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 refers to solutions designed for the storage and processing of massive datasets. Originally developed by Google, these Big Data solutions have evolved and inspired other similar projects, many of which are now available as open-source software. R is a widely adopted programming language within the financial industry.

This instructor-led live training in Argentina (available online or on-site) is targeted at beginner-level data analysts who wish to use R programming for data manipulation, basic data analysis, and creating insightful visualizations.

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 Argentina (online or onsite) is tailored for data scientists interested in programming with Python and R for KNIME.

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 onsite, is designed for data analysts who wish to use Stata and R to analyze big data for statistical purposes.

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

• Create statistical models for predicting key variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases to prepare for data analysis.

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

This instructor-led, live training in Argentina (online or onsite) is targeted at data scientists who wish to program in R for Tableau.

• Integrate Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Drive business operations with data-informed decisions.

Description:

This course is tailored to equip R users with the skills to build web applications without the need to master cross-browser HTML, JavaScript, and CSS.

Objective:

It covers the fundamental principles of how Shiny applications function.

It encompasses all essential input, output, rendering, and paneling functions available in the Shiny library.

This instructor-led, live training Argentina (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.