R Language Training in Plovdiv

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats including HTML, PDF, and Word.
• Use parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led live training in Plovdiv (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 completion of this training, participants will be able to:

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

This instructor-led, live training in Plovdiv (online or onsite) targets 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 training session, available online or on-site, is designed for intermediate-level R users who want to develop and deploy custom web applications using Shiny. The focus is on data visualization, user interaction, and reporting capabilities.

Upon completing this training, participants will be able to:

• Develop interactive web applications using Shiny and R.
• Construct user interfaces featuring reactive elements and dynamic inputs.
• Integrate data visualization and reporting features into Shiny applications.
• Deploy and distribute Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options

• To arrange a customized training version of this course, please contact us.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at intermediate to advanced 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 graphics. This course provides students with an introduction to the R programming language. It covers fundamental language concepts, libraries, and advanced techniques. Participants will learn advanced data analytics and visualization using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on Practice

Data analytics is a vital asset for modern businesses. This course concentrates on building practical skills for hands-on data analysis, empowering participants to provide evidence-based answers 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

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

R is a widely adopted programming language within the financial sector, utilized in applications ranging from core trading systems to risk management platforms.

Through this instructor-led live training, participants will acquire the skills to leverage R for developing practical solutions to specific financial challenges.

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

• Gaining a solid understanding of R programming fundamentals
• Selecting and employing R packages and techniques to organize, visualize, and analyze financial data from diverse sources such as CSV files, Excel, databases, and web interfaces
• Developing applications that address issues related to asset allocation, risk analysis, investment performance, and more
• Troubleshooting, integrating, deploying, and optimizing R applications

Audience

• Developers
• Analysts
• Quants

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• This training is designed to provide solutions to key challenges faced by finance professionals. If you wish to include or elaborate on a specific topic, tool, or technique, please contact us to make arrangements.

This instructor-led, live training in Plovdiv (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 Plovdiv (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

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

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

Big Data encompasses solutions designed for the storage and processing of large-scale datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar initiatives, many of which are released as open-source software. R has become a widely adopted programming language within the financial sector.

This instructor-led, live training in Plovdiv (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 in Plovdiv (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

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

• Use cluster analysis for data mining
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

This instructor-led live training in Plovdiv (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.

Through this instructor-led, live training, participants will master advanced Machine Learning techniques in R while building a real-world application step by step.

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

• Understanding and implementing unsupervised learning techniques
• Applying clustering and classification methods to make predictions based on real-world data
• Visualizing data to quickly gain insights, make informed decisions, and further refine analysis
• Enhancing machine learning model performance through hyper-parameter tuning
• Deploying models for production use within larger applications
• Utilizing advanced machine learning techniques to address questions involving social network data, big data, and more

R is a free, open-source programming language designed for statistical computing, data analysis, and visualization. An increasing number of managers and data analysts within both corporate sectors and academia rely on R. It has also gained popularity among statisticians, engineers, and scientists who may lack extensive computer programming skills but appreciate its user-friendly nature. The language's widespread adoption stems from the growing reliance on data mining to achieve various objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R supports a broad spectrum of packages tailored for data mining.

Shiny is an open-source R package that serves as a web framework for constructing interactive web applications using R.

During this instructor-led live training, attendees will discover how to integrate data science and web development by utilizing Shiny, R, and HTML.

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

• Developing interactive web applications with R through Shiny

Audience

• Data scientists
• Web developers
• Statisticians

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

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

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

Upon completing this training, participants will be capable of:

This instructor-led, live training in Plovdiv (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 help R users build web applications without the need to learn cross-browser HTML, JavaScript, or CSS.

Objective:

Provides a foundational understanding of how Shiny applications function.

Explores all the commonly utilized input, output, rendering, and paneling functions available in the Shiny library.

This instructor-led, live training in Plovdiv (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.