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Consultancies and Data-Driven Solutions

Ready to transform your healthcare and medical research or business challenges into unique opportunities using our innovative data-driven tools and customisable solutions to achieve unparalleled results? Explore our expert offers and start a fruitful discussion with us today!

Skill Enhancement and Consultations

Basics of Medical Statistics using SPSS

A series of cutting-edge short courses with SPSS applications!

Unlock the power of medical statistics with our dynamic and interactive short course designed for healthcare professionals, researchers, and students eager to enhance their analytical skills.

This course doesn’t assume any background in statistics and starts covering the basics from scratch!

It offers a comprehensive introduction to the fundamentals of medical statistics, and an overview of the descriptive, inferential, and basic statistical models, seamlessly integrated with hands-on applications using SPSS, one of the most widely used statistical software packages in the field.

Basics of Medical Statistics using R

A series of cutting-edge short courses with R applications!

Unlock the power of medical statistics with our dynamic and interactive short course designed for healthcare professionals, researchers, and students eager to enhance their analytical skills.

This course doesn’t assume any background in statistics and/or R programming. It starts covering the basics from scratch!

It offers an introduction to the fundamentals of medical statistics, seamlessly integrated with R, one of the most advanced and widely used statistical software. With top-tier outstanding Medical Statisticians and R developers, you will master the future of medical statistics applications!

Introduction to R Programming

A series of cutting-edge introductory short courses in R!

This is an intensive course on basics and fundamental concepts of R. The course is structured as a set of interactive lecture sessions and computer practicals. It is suitable to a wide range of participants e.g., statisticians, biologists, clinicians and postgraduate students in quantitative and qualitative fields.
The course assumes no prior programming skills.

The course is delivered by top-tier outstanding R developers who will help you to excel the skills of R programming!

Introduction to Data Visualisation

A series of cutting-edge short courses in cutting-edge techniques of data visualisation! 

This course will be introducing the key aspects of data visualisation using R, with applications of powerful R tools such as ggplot2.

The course assumes some basic knowledge of R as covered in our “Introduction to R Programming” course.

The course also covers methods of interactive plots and dynamic visualisations.

Introduction to Dynamic reporting using Rmarkdown!

An intensive short course in dynamic reporting!

This will enable you quickly produce reports, documents, and web contents of your analysis results, seamlessly sharing them with collaborators and/or clients without complex software.

Easy Formatting – Convert Your Analysis Reporting to Various FormatsEmbed Elements, e.g., links, images, and even code snippets in your reports, enhancing your content with minimal effort – Lightweight and PortableReproducible Analyses!

Simplify the process of creating and sharing dynamic, well-structured reports!

Introduction to Development of Dashboards & Web-Application!

This course covers the concepts of dashboards and web application developments! 

This will push your statistical & data science skills to the next level!

Achieving an exceptional integration of modern interactive data visualisation and outstanding user experiences through dashboards, providing real-time insights and analytics.

This will equip you with the tools required for aiding in quick decision-making!

Supervised Machine Learning (Classification)

This course covers the statistical learning techniques for classification (supervised learning) and their various approaches with applications in R!

Participants will analyse real as well as example data sets and compute estimates of the misclassification rate, of the area under the receiver-operating characteristic (ROC) and of other relevant assessment measurements.

 This course is beneficial for a wide range of participants e.g., statisticians, data scientists, bioinformaticians, engineers and postgraduate students in different fields.

The course assumes some basic knowledge of R as covered in our “Introduction to R Programming” course.

Unsupervised Machine Learning (Clustering)

This course covers the statistical learning techniques for clustering (unsupervised learning) and their various approaches with applications in R!

This introduces basic multivariate concepts, such as notions of multivariate analysis, e.g., covariance, correlation and Euclidean distance. It will also covers an introduction to the similarity measures, k-means clustering, its visualising solutions and hierarchical clustering with various linkage methods, e.g., agglomerative hierarchical clustering and additive trees.

This course is beneficial for a wide range of participants e.g., statisticians, data scientists, bioinformaticians, engineers and postgraduate students in different fields. The course assumes some basic knowledge of R as covered in our “Introduction to R Programming” course.

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