Featured Programme: Now Open

Data Analysis & Visualisation
for Professionals

Our inaugural Academy programme is designed as a business decision-making course rather than simply an Excel and Power BI tutorial. We emphasise practical analytical skills over software proficiency alone, so you can answer real business questions and support decisions that matter.

Duration 6 Weeks
Live Classes 2 Evenings/Week
Office Hours Weekly Q&A
Assessment Mini-projects & Labs
Certificate 70% Overall Grade

Delivery Model & Requirements

  • Live Classes: 2 evenings per week (2 hours each).
  • Self-paced Learning: Live virtual sessions, readings and practice exercises.
  • Office Hours: Weekly Q&A session.
  • Assessment: Progressive mini-projects, quizzes, and labs.
  • Certificate Requirement: Complete all six mini-projects and achieve at least 70% overall.

Who Should Enrol

This focus resonates strongly with working professionals who need practical analytical skills rather than software proficiency alone.

  • Finance and HR professionals
  • Operations and logistics managers
  • Sales and marketing teams
  • Healthcare administrators
  • Anyone seeking to drive decisions with data

Academy Faculty

Instruction is led by active industry practitioners who bring current workflows and real datasets into every live session. The goal is not just to create spreadsheets or dashboards, but to answer business questions and support decisions.

Curriculum

Six weeks. Progressive
mini-projects.

Every week culminates in a practical mini-project designed to solve real business problems and support strategic decision-making.

01
Week 1

Excel Foundations for Data Analysis

Mini Project

Analyze monthly sales data for a retail company to identify top-performing products and regions.

02
Week 2

Data Preparation and Analysis in Excel

Mini Project

Clean a customer sales dataset and build an interactive sales summary dashboard.

03
Week 3

Advanced Excel for Business Intelligence

Mini Project

Create an executive dashboard from multiple sales files using Power Query.

04
Week 4

Power BI Essentials

Mini Project

Build a regional sales performance report in Power BI.

05
Week 5

Data Modeling and Interactive Dashboards

Mini Project

Create an executive KPI dashboard for business management.

06
Week 6

Business Analytics and Data Storytelling

Mini Project

Analyze customer churn using Power BI and present actionable recommendations to management.

Admissions & Tuition

Small cohort. Rigorous instruction.
Accessible entry.

To keep sessions interactive and learning outcomes high, each cohort is deliberately capped.

Cohort Profile
Maximum Class Size 20 Learners
Status Coming Soon
Format Live Virtual + LMS
Duration 6 Weeks
Inaugural Cohort Rate
KES 15,000

Standard tuition: KES 25,000

This rate reflects our first cohort of professionals. Future cohorts will be offered at the standard rate.

Tuition funds the operations and infrastructure that sustain our tuition-free community programmes.

Corporate Enquiries → academy@ngaolabs.org
Admissions Process
01

Submit Your Application

Apply through our online portal. No prior coding experience required for this programme.

02

Admissions Review

We review your application and extend a placement offer within a few business days.

03

Complete Tuition & Onboarding

Settle tuition payment and complete LMS onboarding before your cohort begins.

Coming Soon
Ngao Labs Academy

Ready to advance your career?

Whether you're an individual professional or an organisation looking to upskill your team, we have programmes and consultancy services designed for you. Every enrolment helps keep technology education free for those who need it most.

For all enquiries: academy@ngaolabs.org