Digital & Tech Skills

Data Analytics with Power BI

A 16-week live online programme that takes you from beginner to job-ready digital marketer — combining paid advertising, social media strategy, content creation, and AI-powered tools that make you faster and more effective than anyone still working manually.

Turn Data Into Decisions. Become the Person Every Team Depends On.

Every organisation in Kenya is sitting on more data than it knows what to do with. Finance teams export reports nobody reads. Marketing teams track metrics nobody acts on. Operations teams collect numbers that never become decisions. The problem is not the data — it is the absence of someone who can work with it. This programme makes you that person. In 16 weeks, you will learn to connect to data sources, clean and transform messy datasets, build interactive Power BI dashboards that answer real business questions, and present findings in a way that actually changes what leadership does next. You will write SQL. You will use Python for analysis. You will use AI features inside Power BI itself. By the end, you will have a portfolio of real dashboards that prove your capability more convincingly than any certificate could.

Who Is This Program For?

Students and graduates who want one of the most in-demand and best-compensated entry-level tech skills in Kenya
Finance, operations, HR, and marketing professionals who work with data daily but cannot yet build the dashboards they picture
Professionals transitioning into data analytics or business intelligence roles from any background
Anyone who has been told "we need someone who can do something better with our data" and wants to be that person

Data analysts are among the most consistently in-demand professionals across Kenya’s private sector, NGO space, and startup ecosystem. The people who can turn a spreadsheet into a boardroom-ready insight are not easy to find — and employers know it.

Course details:

What You Will Be Able to Do

Build interactive, shareable dashboards in Microsoft Power BI from scratch
Clean, transform, and model messy raw data into something usable
Write SQL queries to extract exactly what you need from a database
Use DAX formulas to calculate measures that tell the real story behind the numbers
Apply AI features in Power BI — Copilot, Q&A, and predictive visuals — to surface insights automatically
Use Python with Pandas to analyse and visualise data beyond what spreadsheets can handle
Present findings clearly to people who did not build the dashboard
Graduate with a portfolio of real dashboards that employers can open and evaluate

Course Curriculum

Eight modules that take you from the logic of data to a full business intelligence solution you built yourself.

Foundations of Data Analytics

How data flows through organisations, what business intelligence actually means, and why most reporting fails to drive decisions. You will understand the full analytics pipeline before you build a single chart.

Data Preparation and Transformation with Power Query

The most underrated skill in data work: cleaning. Connect to data sources, remove errors, reshape tables, and produce data that is actually ready to analyse — using Power Query inside Power BI.

SQL for Data Querying

Write SQL to interrogate databases — SELECT, WHERE, GROUP BY, JOIN, and the aggregations that turn raw records into meaningful summaries. Practised on real datasets in every session.

Power BI Data Modelling and Relationships

Define table relationships, create hierarchies, and structure your data model so any question can be answered in seconds without rebuilding the report every time.

DAX and Calculated Measures

Write measures for totals, ratios, running averages, year-on-year comparisons, and more. DAX is what separates a Power BI report from a static chart — this module is where the depth happens.

Dashboard Design and Data Visualisation

What charts to use when and what charts to never use. Layout, colour, typography, and the difference between a dashboard that gets used every Monday and one that gets ignored.

Python for Data Analysis

Use Python with Pandas and Matplotlib to handle large datasets, automate repetitive analysis, and produce visualisations that go beyond Power BI's built-in options.

AI Features, Data Storytelling & Capstone

Copilot in Power BI, predictive analytics, natural language Q&A. Then your capstone: a complete BI solution — modelled, visualised, and presented — for a real business dataset.

Tools You Will Work With

Core Analytics Stack

Microsoft Power BI Desktop and Service Power Query DAX (Data Analysis Expressions) SQL and SQL Server Microsoft Excel (data source)

AI Features

Copilot in Power BI
AI visuals and predictive analytics
Q&A natural language queries

Python

Python 3
Pandas
Matplotlib and Seaborn

Testimonials

What Our Students Are Saying

I enrolled as a recent statistics graduate who could not meet the requirements for data analyst roles because I had no Power BI experience. After the programme I had a strong portfolio of dashboards I could confidently present in interviews. Within six weeks of graduating I had already received two job offers.

Lilian Chebet Chezastemed Student

I had tried to learn Power BI from YouTube but kept getting lost without anyone to ask for help. Having a live instructor meant that when my data model broke I actually understood why and fixed it during the session. That kind of hands on learning stays with you and builds real confidence.

Samuel Njoroge Chezastemed Student

I was a finance assistant manually compiling monthly reports in Excel which used to take three days. In Module 4 I built my first Power BI dashboard that now does the same work in under an hour. Within two months of completing the programme I was promoted and it has easily been one of the best investments I have made in my career.

Mercy Atieno Chezastemed Student

FAQ's

Frequently Asked Questions

What is Power BI and how can it help me get a data analyst job in Kenya?

Power BI is a Microsoft tool that turns data into clear dashboards and reports, and mastering it makes you attractive for data analyst and reporting roles in Kenyan banks, NGOs, and tech companies.

How long is a Power BI course in Kenya and is it online or in Nairobi?

The Power BI course runs online over 16 Weeks (4 Months) with classes held twice per week for 2 Hours per Session.

How is this different from just doing an online Power BI course?

You don’t need advanced maths; basic high‑school maths and some familiarity with Excel is enough, and the course will build your skills step by step so you can start analyzing data confidently.