This is a foundational technical course that is designed to help data teams to speak the same language and to perform basic data tasks in their organisation. Over 5 days, participants are equipped with practical skills in designing databases, conducting basic analysis in R and SQL, designing data dictionaries, and developing reproducible research.
Data Literacy: Implementing a Data-Driven Strategy
This is a hands-on workshop is designed for non-technical teams who are responsible for implementing the data-driven strategy in their organisation. A key objective of this workshop is to help executives, managers, or department heads to engage with their data and analytical teams more productively.
Introduction to data wrangling with Polars: Short course
This is a practical, hands-on course which introduces various data manipulation methodologies using the Polars library. It includes an explanation of Polars’ eager and lazy APIs, as well as foundational lessons on writing powerful expression-based transformations, joining and concatenating data, handling categorical and missing values, and optimising queries for performance—equipping users to build fast, reliable, and reproducible data pipelines in their organisation.
We also offer training in:
Survey analysis
Leveraging Excel pivot tables to conduct survey data analysis. Participants learn how to conduct basic segmentation analysis using cross-tabulations, create new variables in the excel data sheets, how to merge data sets (individual and household level), and best practice when creating charts and graphs using the survey data.
R & Python technical training
Technical courses in R programming including data analytics in R, package development for data engineering in R and Python, building data analytics pipelines in R & Python, API development with dockerisation in R & Python.
Dashboard development
Technical course in dashboard development with Golem Shiny as well as Kibana.