Organisations in Africa are digitising finance, supply chains, service delivery and customer channels, and the data these systems generate is growing quickly. Yet reporting teams spend most of their time finding, cleaning and reconciling data by hand, and ERP implementations often disappoint because the data inside them is poorly understood. Foundational data engineering skills close this gap.

The Fundamentals of Data Engineering, Databases & ERP Data Training Course assumes no prior programming experience. The first four days teach relational database concepts, data modelling and SQL, from basic queries to joins, subqueries, views and performance basics. Days five to seven introduce Python, data cleaning, extract-transform-load design, workflow scheduling and data quality checks. The next part of the programme covers data warehousing, dimensional modelling and the principles that make analytics dependable. The final days focus on enterprise resource planning data, including table structures, master data, document flows and how to extract data for reporting and migration.

Every topic is taught through laboratories using realistic business datasets. Participants complete a capstone project in which they model a database, build a pipeline from an ERP-style source into a warehouse, and present a simple report that proves the data is reliable.

After completing the programme, participants will be able to:

• Explain how relational databases store and relate data using tables, keys and constraints.
• Design a normalised database and document it with an entity relationship diagram.
• Write SQL queries that filter, join, group, summarise and update data.
• Build a simple extract, transform and load pipeline using SQL and Python.
• Apply data cleaning and data quality tests to incoming data.
• Design a star schema for reporting and analytics.
• Explain how ERP modules store master and transactional data and how they relate.
• Extract and reconcile ERP data for reporting or migration.

The course is designed for people starting out with data, as well as users of business systems who want to understand what lies beneath them, including:

• Graduates and trainees entering ICT, data or analytics roles
• Database administrators and ICT support officers
• Business and data analysts
• ERP end users, super-users and implementation team members
• Accountants, finance analysts and auditors who query system data
• Monitoring and evaluation and research data officers
• Procurement, inventory and operations analysts
• Software developers new to databases
• Managers who supervise reporting and data teams

Participants leave with:

• A working relational database designed from a business scenario.
• A library of SQL queries for common reporting tasks.
• A small automated pipeline that loads and checks data on a schedule.
• A star schema design for a reporting use case.
• A map of how major ERP modules share data and where reports draw from.
• A study path and portfolio project to continue building their data skills.

The course is built for beginners and relies on guided practice. Learning methods include:

• Short explanations followed immediately by laboratory exercises
• Realistic business datasets from finance, procurement and sales
• Pair programming and troubleshooting clinics for new learners
• Walkthroughs of ERP screens, tables and reports
• A capstone project presented to peers for feedback

A CPD-accredited Certificate of Completion, issued by Vision Reach Global Consultancy, is awarded to participants who attend the ten days and complete the labs and the capstone project.