Emerging TechnologiesData Science and Big Data Analytics Foundations
Organisations across Africa are accumulating growing volumes of transactional, customer and operational data, creating demand for staff who can extract reliable insight from it. This course introduces the data science workflow, from data cleaning and exploration through statistical analysis and predictive modelling, using accessible tools and real world datasets. Delegates build practical skills for turning big data into actionable business intelligence.
Course objectives
- Describe the end to end data science workflow and big data ecosystem
- Clean, structure and explore large datasets using standard analytical tools
- Apply statistical techniques to identify patterns, correlations and trends
- Build and interpret basic predictive models for business forecasting
- Communicate data science findings clearly to non technical stakeholders
Who should attend
- Business analysts
- Data analysts
- IT professionals
- Planning and strategy staff
- Operations managers
Course outline
- 01The data science workflow and big data ecosystem overview
- 02Data cleaning, structuring and exploratory analysis techniques
- 03Statistical methods for identifying patterns and relationships
- 04Introduction to predictive modelling and forecasting
- 05Working with big data tools and scalable analytics platforms
- 06Communicating data science insights to business stakeholders
Scheduled sessions
| Dates | Venue | Format | Price | Register |
|---|---|---|---|---|
| 25 to 27 September 2026 | Dubai, UAE | Classroom | R11,995 per delegate | Register Now |
| 2 to 4 October 2026 | Gaborone, Botswana | Classroom | R11,995 per delegate | Register Now |
| 25 to 27 November 2026 | Kigali, Rwanda | Classroom | R11,995 per delegate | Register Now |
| 15 to 17 April 2027 | Cape Town, South Africa | Classroom | R11,995 per delegate | Register Now |