R Language Training in Belgrade

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 online or on-site) targets beginner to intermediate R users who aim to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

By the conclusion of this training, participants will be capable of:

• Creating R Markdown documents containing embedded R code chunks and formatted text.
• Generating outputs in various formats such as HTML, PDF, and Word.
• Utilizing parameterized reports and conditional logic to produce dynamic content.
• Customizing document appearance through themes, templates, and LaTeX for professional presentation.

Course Format

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

Course Customization Options

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

This instructor-led live training in Belgrade (available 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:

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Inform business operations with data-driven decision-making.

This instructor-led live training in Belgrade (online or onsite) targets beginner-level professionals who want 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 complex web frameworks.

This instructor-led live training, available either online or on-site, is designed for intermediate R users who aim to develop and deploy custom web applications leveraging Shiny for data visualization, user interaction, and reporting purposes.

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

• Developing interactive web applications using Shiny and R.
• Designing user interfaces featuring reactive components and dynamic inputs.
• Integrating data visualizations and reporting capabilities into Shiny applications.
• Deploying and distributing Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options

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

This instructor-led, live training in Belgrade (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 recognized, open-source platform designed for statistical computing, data analysis, and visualization. This course provides students with an introduction to the R programming language, covering fundamental syntax, essential libraries, and advanced techniques. Participants will learn to perform sophisticated data analytics and create graphs using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Course Format

Lecture-based instruction combined with hands-on practice

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to 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 Belgrade (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 denotes solutions designed for the storage and processing of extensive datasets. Initially developed by Google, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a widely used programming language in the financial sector.

This instructor-led, live training in Belgrade (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 instructor-led live training held in Belgrade (available online or onsite) is aimed at data scientists who want to utilize Python and R to extend KNIME's functionality.

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 (online or onsite) targets data analysts who wish to utilize Stata and R for analyzing big data through statistical methods.

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

• Build statistical models for predicting key variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and other outputs.
• Manage and structure large databases in preparation for data analysis.

Upon completing this training, participants will gain the ability to:

This live, instructor-led training in Belgrade (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 tailored to equip R users with the skills to build web applications, eliminating the need to learn cross-browser HTML, JavaScript, and CSS.

Objective:

It explores the fundamental workings of Shiny applications.

It encompasses all the commonly utilized input, output, rendering, and paneling functions provided by the Shiny library.

This live, instructor-led training conducted in Belgrade (online or on-site) is designed for intermediate-level data analysts and business professionals who want 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.