Building Web Applications in R with Shiny Training Course

This instructor-led, live training in South Africa (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 South Africa (online or onsite) is designed for business analysts who wish to automate trading using algorithmic strategies, Python, and R.

Upon completing this training, participants will be able to:

• Utilise algorithms to rapidly buy and sell securities at specific intervals.
• Lower trading costs through the use of algorithmic trading techniques.
• Automatically monitor stock prices and execute trades.

Big Data encompasses solutions designed for the storage and processing of extensive data sets. Originally developed by Google, these Big Data frameworks have evolved and spurred the creation of numerous similar open-source projects. R has established itself as a widely adopted programming language within the financial sector.

This instructor-led, live training in South Africa (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 South Africa (online or onsite) is designed for 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.

Data analytics plays a pivotal role in modern business environments. This course emphasises the development of practical, hands-on data analysis skills. Its primary objective is to equip participants with the ability to provide evidence-based answers to key questions:

What has happened?

• processing and analysing data
• producing informative data visualisations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimising processes

This instructor-led, live training in South Africa (online or onsite) is aimed at beginner-level professionals who wish to clean and analyse data, make statistical projections, and create insightful visualisations 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 organise datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyse data from multiple sources effectively.

R is a widely used, open-source environment for statistical computing, data analytics, and graphics. This course introduces the R programming language to students, covering language fundamentals, libraries, and advanced concepts. The curriculum includes advanced data analytics and graphing using real-world data.

Audience

Developers / data analysts

Duration

3 days

Format

Lectures and Hands-on

This instructor-led, live training in South Africa (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.

This instructor-led live training in South Africa (online or onsite) is aimed at data scientists who wish to programme 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.

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

During this instructor-led live training, participants will master advanced Machine Learning techniques using R by developing a real-world application step-by-step.

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

• Comprehend and implement unsupervised learning techniques
• Utilise clustering and classification methods to generate predictions from real-world data
• Visualise data to rapidly derive insights, inform decisions, and further refine analytical processes
• Enhance machine learning model performance through hyper-parameter tuning
• Deploy models into production for integration into larger applications
• Apply advanced machine learning methodologies to address queries related to social network data, big data, and other domains

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

During this instructor-led live training, participants will learn how to leverage R to develop practical applications designed to address specific finance-related challenges.

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

• Grasp the fundamental concepts of the R programming language
• Choose and employ R packages and techniques to organise, visualise, and analyse financial data sourced from various platforms (including CSV, Excel, databases, and the web)
• Construct applications that resolve issues related to asset allocation, risk analysis, investment performance, and more
• Troubleshoot, integrate, deploy, and optimise an R application

Audience

• Developers
• Analysts
• Quants

Course Format

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

Note

• This training focuses on providing solutions to key problems encountered by finance professionals. Should you wish to explore a specific topic, tool, or technique in greater depth, please contact us to arrange a tailored session.

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 want 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 able to:

• Create R Markdown documents containing embedded R code chunks and formatted text.
• Generate outputs in various formats, including HTML, PDF, and Word.
• Utilise parameterised reports and conditional logic to produce dynamic content.
• Customise document appearance using themes, templates, and LaTeX for a professional finish.

Course Format

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

Course Customisation Options

• To request customised training for this course, please contact us to make arrangements.

Shiny is an R package that empowers users to construct interactive and dynamic web applications directly within R, eliminating the need for JavaScript knowledge or complex web frameworks.

This instructor-led live training, available both online and onsite, targets intermediate-level R users who want to build and deploy custom web applications using Shiny for data visualisation, user engagement, and reporting.

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

• Creating interactive web applications using Shiny and R.
• Designing user interfaces with reactive elements and dynamic inputs.
• Integrating data visualisations and reporting features into Shiny apps.
• Deploying and sharing Shiny apps locally or online via Shiny Server or Posit Cloud.

Course Format

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

Course Customisation Options

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