Featured Programme: Now Open

Data Analysis & Visualisation
for Professionals

Our live online programme is designed for East African professionals and learners worldwide who want practical data skills for better business decisions. It is 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 6–8pm EAT Convert to your timezone
Format Live Online
Tuition $150 USD
Access East Africa + Worldwide

Delivery Model & Requirements

  • Live Classes: 2 evenings per week, 6:00–8:00pm East Africa Time (EAT, UTC+3).
  • 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

Built for East African professionals first, with a live online format that also welcomes learners anywhere in the world.

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

Learn from practitioners who use data to make decisions.

Our inaugural cohort is led by a hands-on faculty team bringing industry, research and technical experience into every live session.

Valentine Mbuthu

Valentine Mbuthu

Data Analyst

Valentine helps businesses make sense of sales, pricing and market data. She holds an MSc in Data Science and Analytics from Strathmore University and a BSc in Computer Science.

Her end-to-end experience spans data preparation, SQL, Excel, Python, forecasting and Power BI. Her dashboards and forecasts have supported measurable sales growth and reduced reporting errors by 30%.

View LinkedIn
Ann Kiplimo

Ann Kiplimo

Data Analytics & Business Intelligence Professional

Ann holds a BSc in Applied Statistics with Computing and is pursuing an MSc in Biostatistics. Her experience covers BI analysis, data engineering and research data analysis.

She specialises in statistical analysis, reporting automation and visualisation with Excel, Power BI and relational databases, helping learners build practical, job-ready analytics skills.

View LinkedIn
Judetadeus Masika

Judetadeus Masika

Data & Business Analyst

Judetadeus is an actuarial science graduate with strong analytical, quantitative and problem-solving skills. He brings practical experience in data analysis, reporting, records management and operational support.

He works with Excel, SQL, Python, Power BI, SPSS and STATA to clean data, build dashboards and translate business information into actionable insights for technical and non-technical teams.

View LinkedIn
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 Applications Open
Deadline October 30, 2026
Format Live Virtual + LMS
Duration 6 Weeks
Starts November 9, 2026
Ends December 18, 2026
Inaugural Cohort Tuition
KES 15,000 International learners: $150 USD

Special inaugural-cohort pricing for the first 20 learners. Kenyan learners pay KES 15,000; international learners pay $150 USD.

Future standard tuition: KES 25,000 for Kenyan learners and $250 USD for international learners.

  • Live instructor-led classes
  • LMS access, practice exercises and datasets
  • Six practical mini-projects and labs
  • Weekly Q&A and completion certificate

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.

Apply Now

Choose your payment method

Secure payment options

Kenyan learners can pay in KES via M-Pesa. International learners can use the USD bank-transfer details. Pay only after receiving your placement offer.

Pay via M-Pesa

Use the following details to pay the inaugural-cohort tuition fee of KES 15,000. Future cohorts will be charged KES 25,000.

Paybill Number 522533
Account Number 8148173
Business Name Ngao Labs Initiative
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