Shiny App Web Development with R 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.

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.

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.

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.

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

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.

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

This instructor-led, live training in South Africa (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 using learning algorithms in R.
• Structure and visualise R functions in Tableau.
• Make data-driven decisions for business operations.

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

Description:

This course is designed to equip R users with the skills to build web applications without the need to master cross-browser HTML, JavaScript, and CSS.

Objectives:

Explains the fundamental principles of how Shiny applications operate.

Covers the essential input, output, rendering, and paneling functions commonly utilised in the Shiny library.