Whether delivered online or on-site, our instructor-led live R training courses provide a hands-on exploration of the R language. Participants engage with core R programming fundamentals, advanced techniques, and its application in Data Analysis and Data Visualization. Our practical exercises are grounded in real-world challenges within sectors such as Finance, Banking, and Insurance. NobleProg offers a comprehensive range of courses, from beginner to advanced levels, highly valued by organizations looking to leverage R for building Machine Learning and Deep Learning applications.
R training can be accessed as "online live training" or "onsite live training". Online sessions (also known as "remote live training") utilize an interactive remote desktop environment. Onsite training is available at client locations in Durban or within NobleProg's corporate training facilities in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led training in Durban explores the fundamentals of R Markdown for creating dynamic, reproducible reports. It empowers R users to build documents with code chunks, render outputs to HTML, PDF, and Word, and apply parameterized reports, themes, and LaTeX styling for professional, automated documentation.
This instructor-led, live training in Durban (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 Durban (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.
This instructor-led Shiny training in Durban enables intermediate R users to create interactive web apps without JavaScript. Learn to design reactive UIs, incorporate data visualizations, and deploy applications. Acquire hands-on skills for efficiently building dynamic dashboards and reports.
This instructor-led, live training in Durban (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.
This practical course in Durban delves into R fundamentals, data preparation, and visualisation using packages such as ggplot2. Over the course of three days, participants will explore statistical modelling, regression analysis, and machine learning methods—including clustering and classification—by working with real-world data.
This hands-on course in Durban establishes core data analytics competencies using Excel, VBA, and R. Learners will acquire skills in data processing, visualisation, and machine learning to predict trends, refine processes, and drive evidence-based business decisions.
This instructor-led, live training in Durban (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.
Discover the core principles of programming with Big Data in R, a language widely adopted in finance. This course in Durban guides you through environment configuration, utilizing MPI for parallel processing, and working with distributed matrices. You will learn to manage large-scale datasets, execute distributed regression, and apply Monte Carlo methods with high efficiency.
This instructor-led, live training in Durban (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:
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.
This course on Durban equips R users with the skills to develop web applications using Shiny, eliminating the need for extensive HTML or CSS knowledge. It addresses core principles, user interface customization, advanced reactive capabilities, and data dissemination, offering practical insights for building dynamic and interactive data-driven applications.
This instructor-led, live training in Durban (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.
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Testimonials (6)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.
Pranay - Lotterywest
Course - Building Web Applications in R with Shiny
Very practical
Deenan - Vodacom
Course - Data and Analytics - from the ground up
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
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