LuxDevHQ

School of Big Data and Analytics

Develop the skills to collect, engineer, analyse, and transform data into meaningful insights and intelligent systems.

An analyst reviewing charts and dashboards on a laptop

Learning outcomes

What you will be able to do

  • Analyse data with Excel, SQL and Python, and communicate findings to decision-makers
  • Build Power BI dashboards and apply statistics to business questions
  • Train, evaluate and explain machine-learning models
  • Engineer batch and streaming pipelines with Airflow, Kafka, Spark and dbt
  • Design warehouses and lakehouses with data-quality checks and monitoring

Who it is for

  • Complete beginners entering data careers
  • Business professionals who want analytical skills
  • Data analysts moving into engineering
  • Software developers transitioning into data platforms

Prerequisites

  • No prior data or programming experience is required for Data Science & Analytics.
  • Data Engineering suits learners comfortable with basic computing; the first month covers Linux, Python environments, Git and SQL foundations.
  • A laptop and a reliable internet connection for online classes.

Curriculum and projects

How the learning is structured

Every programme is built around practical projects that end up in your portfolio.

Data Science & Analytics

  1. 1Month 1 — Data Analysis Foundations
  2. 2Month 2 — Python Analytics and Business Intelligence
  3. 3Month 3 — Statistics and Machine Learning
  4. 4Month 4 — Applied AI, Deployment and Capstone

Capstone project

Kenya Business Intelligence and Predictive Analytics Platform

See full course details

Data Engineering

  1. 1Month 1 — Data Engineering Foundations
  2. 2Month 2 — Warehousing, Quality and Streaming
  3. 3Month 3 — Big Data, Orchestration and Lakehouse Systems
  4. 4Month 4 — Production Engineering and Capstone

Capstone project

Unified Retail Intelligence Data Platform

See full course details

Duration, delivery and fees

Plan your studies

Live online cohorts or in-person classes at Garden Court HQ, Nairobi, followed by an internal internship.

CourseAdmission statusDurationDeliveryFeesNext intake
Data Science & AnalyticsOpen for Applications4 months of instruction + 2-month internshipLive online or in person in Nairobi
  • Live online cohorts: KES 7,500 / month (KES 30,000 total)
  • In person, Garden Court HQ, Nairobi: KES 12,500 / month (KES 50,000 total)
January 2027
Data EngineeringOpen for Applications4 months of instruction + 2-month internshipLive online or in person in Nairobi
  • Live online cohorts: KES 7,500 / month (KES 30,000 total)
  • In person, Garden Court HQ, Nairobi: KES 12,500 / month (KES 50,000 total)
January 2027
Python and SQL Short CoursesOpen for Applications1 monthInstructor-led, two sessions per week per tool
  • KES 5,500, credited toward full-programme fees if you later enrol
Contact admissions
Data Analytics and Business IntelligenceComing SoonTo be confirmedTo be confirmedTo be confirmedTo be confirmed
Machine Learning and Applied AIComing SoonTo be confirmedTo be confirmedTo be confirmedTo be confirmed
Big Data Engineering and PlatformsComing SoonTo be confirmedTo be confirmedTo be confirmedTo be confirmed

Admissions

How to join

Applications are open for the courses marked Open for Applications.

  1. Step 1

    Submit an application

    Tell us about your background and goals using the online application form.

  2. Step 2

    Application review

    The admissions team reviews your application and contacts you.

  3. Step 3

    Friendly chat

    Selected candidates have a short, relaxed conversation with the team.

  4. Step 4

    Decision and onboarding

    Successful candidates receive onboarding information and payment options.

FAQ

Frequently asked questions

How long are the full data programmes?

A typical journey is 24 weeks: 4 months of instructor-led learning followed by a 2-month internship. Students who need longer usually finish within 8–9 months.

What do the data programmes cost?

Online: KES 7,500 per month (KES 30,000 total). In person: KES 12,500 per month (KES 50,000 total). Paying upfront saves 10%.

When is the next intake?

The next full Data Science & Analytics and Data Engineering intake begins in January 2027.

What is the difference between Data Science & Analytics and Data Engineering?

Data Science & Analytics focuses on analysing data and building predictive models. Data Engineering focuses on the pipelines, warehouses and streaming systems that make data reliable.

How is Machine Learning here different from the School of Artificial Intelligence?

In this school, machine learning is taught as data-driven modelling and analytical methods. The School of Artificial Intelligence focuses on using and integrating AI tools in everyday work.

Is the certificate accredited?

Certificates are issued by LuxDevHQ. They are not externally accredited.

Ready to start building?

Apply to the School of Big Data and Analytics, or talk to admissions about which course fits you.