Accelerate scientific research with training in data analysis, high-performance computing, research software engineering, and reproducible workflows.
Modern research increasingly depends on computational skills — from bioinformatics and climate modelling to social science data analytics. Our training helps researchers, lab technicians, and research software engineers build the technical foundations they need to produce high-quality, reproducible results.
Python and R for data analysis, high-performance computing, research software engineering, version control and reproducibility, statistical modelling, data visualisation, and cloud computing for research.
Learn how to transform data into clear, accurate and compelling visual insights. This two-day course introduces the principles of visual analytics, data visualisation and evidence-based storytelling. Participants learn how to select suitable charts, structure visual information, design effective dashboards and communicate analytical findings to different audiences. The course combines principles of visual perception with practical approaches to exploratory and explanatory analysis. It also examines advanced chart types, common visualisation errors and the ethical responsibilities involved in presenting data.
Dive into R programming and data analysis with this comprehensive training. Develop your skillset in R, understand data manipulations, and become adept in the usage of R's GUIs and its diverse data analytical tools.
Master the art of data analysis with Python's most powerful libraries: Pandas and Numpy. In this workshop, you'll delve deep into the intricacies of structured and time series data processing, data visualization, and optimization techniques. Elevate your Python data analysis skills and unravel the power of vectorized computations, ensuring comprehensive insights and efficient data manipulation.
This training is crafted for developers and data scientists desiring to leverage AI in their applications. With an emphasis on Data Analysis, Distributed AI, and NLP, participants are equipped with hands-on expertise to transform their projects.
Delve deep into the world of data analysis with our comprehensive training on Data Mining and Analysis. Understand, dissect, and forecast with enhanced predictive results by mastering techniques to process, infer, and classify vast data sets.
Unlock the combined power of Data Mining & Machine Learning using R in our intensive training. Dive deep into analytical techniques, leveraging R's robust packages and frameworks. Designed for data scientists and analysts, this course offers a comprehensive walkthrough from basic regression to advanced multidimensional reduction techniques.
Dive into the dynamic world of Python programming with this comprehensive training. Designed for both beginners and professionals, you’ll explore Python’s core libraries, its powerful application in business and science, and its versatile use across operating systems.
Dive deep into the world of AI with a comprehensive training course covering Machine Learning and Deep Learning. Grasp core concepts, methodologies, and the practical application of algorithms to decode complex datasets.
Expand your data analysis capabilities by mastering Stata, a leading software in statistical and data analysis. This comprehensive course is designed to equip data analysts with essential skills for processing, visualizing, and analyzing large datasets.