R Language Training in Ankara

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 Ankara (online or onsite) is aimed at data analysts and anyone who is interested to learn 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.

This instructor-led, live training in Ankara (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 empowers users to construct 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 on-site, targets intermediate R users looking to create and deploy custom web applications using Shiny for data visualization, user interaction, and reporting purposes.

Upon completing this training, participants will be capable of:

• Developing interactive web applications utilizing Shiny and R.
• Crafting user interfaces equipped with reactive elements and dynamic inputs.
• Integrating data visualization tools and reporting capabilities into Shiny applications.
• Deploying and sharing Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

• Engaging lectures and discussions.
• Extensive exercises and practical training.
• 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 Ankara (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 graphics. This course provides students with an introduction to the R programming language, covering its fundamentals, libraries, and advanced concepts. Participants will learn how to perform advanced data analytics and create graphics using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on

Data analytics serves as a pivotal asset in contemporary business environments. Our primary focus throughout this course is to cultivate practical, hands-on skills in data analysis. The objective is to empower participants to formulate 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

Unstructured data is estimated to comprise over 90% of all data, with text forming a significant portion of this volume. Sources such as blog posts, tweets, social media platforms, and other digital publications continuously contribute to this expanding dataset.

This instructor-led, live course focuses on extracting insights and meaning from such data. By leveraging the R programming language and Natural Language Processing (NLP) libraries, the course integrates principles from computer science, artificial intelligence, and computational linguistics to algorithmically decipher the context within text data. Sample datasets are provided in various languages, tailored to customer needs.

Upon completion of this training, participants will be equipped to prepare datasets of varying sizes from diverse sources and apply appropriate algorithms to analyze their significance and generate reports.

Course Format

• A blend of lectures and discussions, with a strong emphasis on practical, hands-on exercises and periodic assessments to measure comprehension.

R has established itself as a highly popular programming language within the financial sector, powering applications that span from core trading systems to sophisticated risk management platforms.

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

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

• Grasp the foundational concepts of the R programming language
• Select and apply R packages and techniques to organize, visualize, and analyze financial data sourced from diverse origins such as CSV files, Excel spreadsheets, databases, and web interfaces
• Construct applications designed to address issues related to asset allocation, risk analysis, investment performance, and other areas
• Effectively troubleshoot, integrate, deploy, and optimize R applications

Target Audience

• Developers
• Analysts
• Quantitative Professionals

Course Format

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

Note

• While this training focuses on providing solutions to key challenges faced by finance professionals, we are open to customization. If there is a specific topic, tool, or technique you wish to explore in greater depth, please contact us to arrange accordingly.

This instructor-led live training in Ankara (online or onsite) is designed for intermediate-level R users who aim 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, enhance data workflows, debug and optimize code, and produce reproducible reports.

This instructor-led, live training in Ankara (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 massive datasets. Originally developed by Google, these Big Data frameworks have evolved and inspired numerous similar initiatives, many of which are available as open-source software. R is widely recognized as a leading programming language within the financial sector.

This instructor-led live training, delivered Ankara (online or onsite), is tailored for beginner-level data analysts who intend to use R programming for data manipulation, basic data analysis, and creating impactful visualizations to uncover insights.

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

• Grasp the core principles of R Programming.
• Implement fundamental data science processes.
• Generate visual representations of data.

This instructor-led, live training in Ankara (online or on-site) is designed for data analysts who want to use R within 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 Ankara (online or onsite) 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.

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

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

• Understand and implement unsupervised learning techniques
• Apply clustering and classification to make predictions based on real world data.
• Visualize data to quickly gain insights, make decisions and further refine analysis.
• Improve the performance of a machine learning model using hyper-parameter tuning.
• Put a model into production for use in a larger application.
• Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.

R is an open-source, free programming language designed for statistical computing, data analysis, and graphics. It is increasingly utilized by managers and data analysts within both corporate and academic environments. Additionally, R has gained popularity among statisticians, engineers, and scientists who may lack formal programming training but appreciate its user-friendly nature. The tool's widespread adoption stems from the growing reliance on data mining for diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R supports these activities through a rich ecosystem of packages tailored for data mining.

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

This instructor-led live training teaches participants how to integrate data science and web development by leveraging Shiny, R, and HTML.

Upon completing this training, participants will be capable of:

• Developing interactive web applications in R using Shiny

Target Audience

• Data scientists
• Web developers
• Statisticians

Course Format

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

This instructor-led live training, available online or onsite, targets data analysts who aim to use Stata and R for analyzing big data through statistical methods.

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

• Create statistical models to predict key variables of interest and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases in preparation for data analysis.

Upon completing this training, participants will be equipped with the following capabilities:

This instructor-led, live training in Ankara (online or onsite) is designed for data scientists who aim 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 develop web applications without the need to master cross-browser HTML, JavaScript, or CSS.

Objective:

It provides a foundational understanding of the mechanics behind Shiny applications.

It explores all the commonly utilized functions for inputs, outputs, rendering, and paneling within the Shiny library.

This instructor-led, live training in Ankara (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.