INTERMEDIATE · SUBSIDISED

Data Analytics &
Business Intelligence

Turn data into decisions. Build the analytical skills Africa’s economy demands.

DURATION12 Weeks

LEVELIntermediate

AWARDDiploma in Data Analytics

LANGUAGESEnglish, French, Swahili

DELIVERYOnline with live cohort sessions

NEXT INTAKEQuarterly — January, April, July, October

Apply Now →All Programmes

PROGRAMME IMPACT

Learners enrolled18,000+

Graduate employment rate87%

Average salary increase post-graduation3.2×

Live cohorts running simultaneously6

Programme Overview

Data is the new oil — and Africa is rich with it. From agricultural yield patterns to mobile money transaction flows, from healthcare records to logistics networks, the continent generates vast amounts of data that remain largely untapped. This programme equips you to change that.

This 12-week diploma provides practical, hands-on training in data analysis, visualisation, and business intelligence using industry-standard tools. Every case study, dataset, and business scenario is drawn from real African organisations and contexts, ensuring skills that are immediately applicable.

What You Will Study

MODULE 01

Data Fundamentals & Excel Mastery

From raw data to structured analysis — master Excel for data cleaning, pivot tables, and exploratory analysis using real African datasets.

MODULE 02

SQL for Data Querying

Write SQL queries to extract, filter, and aggregate data from relational databases. Work with real business scenarios from African enterprises.

MODULE 03

Python for Data Analysis

Use Python with Pandas and NumPy to handle large datasets, automate data workflows, and perform statistical analysis.

MODULE 04

Data Visualisation with Power BI

Design compelling, interactive dashboards in Power BI that communicate insights clearly to business decision-makers.

MODULE 05

Statistical Analysis & Business Insights

Apply statistical thinking to business problems. Identify trends, test hypotheses, and generate actionable recommendations.

MODULE 06

Capstone: Real African Business Challenge

Work in teams to solve a live data challenge set by a partner organisation and present your findings to an industry panel.

Learning Outcomes

By the end of this programme, you will be able to:

Clean, transform, and analyse data using Excel, Python, and SQL

Build interactive business intelligence dashboards in Power BI

Apply statistical methods to real-world business problems

Communicate data insights clearly to non-technical stakeholders

Complete an end-to-end data analytics project portfolio

Qualify for junior data analyst and business intelligence roles

Who Is This For?

Designed for working professionals seeking to transition into data roles, business analysts wanting to deepen their technical skills, numerate graduates, and entrepreneurs seeking to make data-driven decisions. Basic computer literacy required; no prior coding experience necessary.

“The capstone project changed my career. I analysed six months of sales data for a Lagos retailer, found a pricing anomaly worth millions annually, and landed my first data analyst role before the course ended.”

— Chidi O., graduate — Lagos, Nigeria