R Language Training in Natal

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 onsite, is designed for beginner to intermediate R users who want to generate 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:

• Creating R Markdown documents that include embedded R code chunks and formatted text.
• Generating outputs in various formats, including HTML, PDF, and Word.
• Utilizing parameterized reports and conditional logic to produce dynamic content.
• Customizing the document's appearance using themes, templates, and LaTeX for a professional look.

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 it.

This instructor-led, live training in Natal (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 Natal (online or onsite) is designed for 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:

• Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Conduct statistical analysis and projections with R.
• Develop professional dashboards and reports with Power BI.
• Effectively integrate and analyze data from multiple sources.

Shiny is an R package that empowers users to construct 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 online or onsite, targets intermediate-level R users looking to create and deploy custom web applications. The course focuses on utilizing Shiny for data visualization, enhancing user interaction, and generating reports.

Upon completing this training, participants will be capable of:

• Building interactive web applications using Shiny combined with R.
• Designing user interfaces that feature reactive elements and dynamic inputs.
• Integrating data visualization tools and reporting capabilities into Shiny applications.
• Deploying and sharing Shiny apps locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options

• For requests regarding customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Natal (online or onsite) is designed for computer science professionals at intermediate to advanced levels who wish to leverage Stata for statistical analysis and integrate it with R.

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

• Use Stata effectively 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 highly popular, open-source environment designed for statistical computing, data analytics, and graphical visualization. This course provides students with an introduction to the R programming language, covering its core fundamentals, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and graphing exercises using real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Instructional lectures combined with practical hands-on exercises

Data analytics is a vital asset in the modern business landscape. Throughout this course, we will concentrate on building practical, hands-on skills in data analysis. The goal is to empower 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

Unstructured data is estimated to represent over 90% of all data, with a significant portion existing in text format. Sources such as blog posts, tweets, social media interactions, and other digital publications constantly contribute to this expanding dataset.

This instructor-led, live course focuses on extracting insights and meaning from this information. By leveraging the R language alongside Natural Language Processing (NLP) libraries, we integrate concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically decipher the meaning behind text. Data samples are available in various languages, tailored to meet specific customer requirements.

By the conclusion of this training, participants will be capable of preparing datasets (both large and small) from diverse sources and applying appropriate algorithms to analyze and report on their significance.

Format of the Course

• Combination of lectures, discussions, extensive hands-on practice, and occasional assessments to evaluate understanding

R is a widely adopted programming language within the financial sector. It powers various financial solutions, from core trading systems to risk management platforms.

In this instructor-led live training, participants will learn to leverage R to build practical applications that address specific challenges in finance.

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

• Grasp the foundational concepts of the R programming language
• Choose and employ R packages and techniques to organize, visualize, and analyze financial data from diverse sources (such as CSV, Excel, databases, and web APIs)
• Develop applications that solve issues related to asset allocation, risk analysis, investment performance, and other areas
• Troubleshoot, integrate, deploy, and optimize R applications

Target Audience

• Developers
• Analysts
• Quantitative Analysts (Quants)

Course Format

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

Important Note

• This training is designed to address key problems encountered by finance professionals. If you have a specific topic, tool, or technique you would like to include or expand upon, please contact us to arrange for customization.

This instructor-led, live training in Natal (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 Natal (online or onsite) targets business analysts who wish to automate trading using algorithmic trading, Python, and R.

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

• Utilize algorithms to rapidly buy and sell securities at specialized increments.
• Decrease costs associated with trading by leveraging algorithmic trading techniques.
• Automatically monitor stock prices and execute trades.

Big Data refers to solutions designed for storing and processing extensive data sets. Originally developed by Google, these Big Data solutions have evolved and inspired various other similar projects, many of which are available as open-source software. R has become a popular programming language within the financial industry.

This instructor-led, live training in Natal (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 Natal (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 Natal (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 master advanced techniques for Machine Learning with R by building a real-world application step by step.

Upon completing this training, participants will be capable of:

• Understanding and implementing unsupervised learning techniques
• Utilizing clustering and classification to make predictions based on real-world data
• Visualizing data to quickly gain insights, facilitate decision-making, and refine analysis
• Enhancing machine learning model performance through hyper-parameter tuning
• Deploying models into production for integration into larger applications
• Applying advanced machine learning techniques to address complex questions related to social network data, big data, and more

R is a free, open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by data analysts and managers within both corporate and academic sectors. Additionally, R has gained popularity among statisticians, engineers, and scientists who may lack advanced computer programming skills, thanks to its user-friendly nature. Its rising appeal stems from the growing reliance on data mining for diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, or refining financial models. R supports a broad spectrum of packages tailored for data mining tasks.

Shiny is an open source R package that provides a web framework for building interactive web applications using R.

In this instructor-led, live training, participants will learn how to combine data science and web development using Shiny, R, and HTML.

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

• Build interactive web applications with R using Shiny

Audience

• Data scientists
• Web developers
• Statisticians

Format of the course

• Part lecture, part discussion, exercises and heavy 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 prepare for data analysis.

By the conclusion of this training, participants will be equipped with the ability to:

This instructor-led, live training in Natal (online or onsite) is designed for data scientists aiming to program in R for Tableau.

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

Description:

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

Objective:

It covers the fundamental workings of Shiny applications.

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

This instructor-led, live training in Natal (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.