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Data Analytics

Companies across every industry are hiring people who can turn data into decisions that drive real results. This is how you become one of them.

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Duration

7 weeks at 20 hours/week

Level

Beginner

Start Date

June 8, 2026

Register Interest
Register Interest

This is What a Career in Data Analytics Looks Like

People are landing roles at leading companies after completing this programme. You could be next.

Justin M.
Data Analyst
Twiva

Bramuel B.
Data Engineer
Safaricom

Steven O.
Data Science Intern
Mastercard Foundation

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“After learning data science at ALX, I founded Sowphie to help farmers use data to manage and grow their farms.”

Edward N

Data Science Graduate

Founder, Sowphie

The Careers our Graduates are Building Right Now

Meet Habiba Abo Rehab, our ALX Software Engineering graduate

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Meet Omar, our Data Analytics graduate

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Learn about how Emad grew into a professional backend engineer

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The Knowledge That Gets You Into Data

Data and AI Literacy Foundations

Equip learners with the foundational mindset and technical literacy needed to solve complex problems using structured reasoning, programmatic logic, and the EGAD framework.

Outcomes

Build the structured reasoning and analytical mindset that gives you a permanent edge over other candidates in any data role.

Enables learners to transform raw data into reliable business insights by mastering data cleaning, governance, and statistical reasoning within a spreadsheet environment. Learners will develop the technical proficiency to source and prepare datasets, apply descriptive analytics, and use AI-powered tools to visualize patterns and validate assumptions for data driven decision-making.

Outcomes

Work with real data and finish with a project that shows employers exactly what you can do.

A comprehensive foundation in relational database management, focusing on the ability to design, query, and optimize complex data structures using SQL. Learners will master everything from basic data retrieval to advanced analytical functions, window functions, and database normalization, and get introduced to PostreSQL, the emerging standard for database management, all while applying best practices within production-grade notebook environments.

Outcomes

Build interactive dashboards and visual reports that give businesses the clarity they need to make better decisions.

This course focuses on transforming complex datasets into impactful visual stories by mastering data modeling, Power Query transformations, and DAX expressions within Power BI. Learners will develop the skills to design interactive dashboards and accessible reports that effectively communicate insights to both technical and non-technical stakeholders.

Outcomes

Build interactive dashboards, write DAX expressions, and transform messy data into reports anyone can understand and act on.

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What is data analysis?

Data analytics is the process of examining data to find patterns, draw conclusions, and support decision-making. Data analysts collect and clean data, apply statistical methods, build visualisations, and translate their findings into insights that help organisations understand what is happening and what to do next.

Data analysts work across industries, including finance, healthcare, marketing, operations, government, and technology. Common roles include Data Analyst, Business Intelligence Analyst, Reporting Analyst, Database Analyst, Junior Data Analyst, Operations Analyst, and Marketing Analyst. The skills are transferable across sectors because every organisation that makes decisions needs people who can work with data.

The programme is designed to build from the ground up. You do not need prior coding experience or advanced mathematics. What you need is logical thinking, an interest in how organisations make decisions, and the commitment to learn tools like SQL and Power BI through practice.

You will be able to collect and clean raw datasets, run descriptive and statistical analysis, write SQL queries to extract insights from databases, build Power BI dashboards that communicate findings to technical and non-technical stakeholders, and present data-driven recommendations that support business decisions.

Yes, and significantly so. As African businesses digitise and generate more data, the need for people who can make sense of that data has grown rapidly. The programme’s real-world projects are designed to build the kind of practical, applicable skills that African employers are actively hiring for.

When you complete your first Data Analytics short course, you are automatically enrolled in Professional Foundations. From that point you complete both in parallel. Professional Foundations is required for your Data Analytics Programme Certificate, but you do not need to finish it before you can continue your Data Analytics short courses. If you have already completed Professional Foundations through a previous programme, the system will recognise that and you will not be asked to repeat it.