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Data & AI

Data Analysis & AI Foundations

Turn raw data into clear insights and build a practical foundation for working with artificial intelligence.

6 weeks2 days a week2 hours per sessionOnline

Take the first step today. Admissions will confirm your class days and intake.

Data Analysis & AI Foundations learning environment
Complete programUSD 150Approx. KES 19,421

12 sessions · 24 guided hours

KES estimate at 129.47 per USD, dated 2026-09-04. Confirm the payable KES amount with admissions.
Course overview

Build understanding.
Put it into practice.

Learn a responsible, business-focused approach to data. Clean information, ask better questions, create dashboards, automate analysis and understand how modern AI tools can support real work.

This focused program combines guided sessions with independent practice. You’ll work through foundations, use relevant tools and develop a small project that brings the ideas together. Progress comes from asking questions, practising consistently and improving your work between classes.

What you will learn

Clean and organize real datasets
Query data with SQL
Communicate insights visually
Use AI-assisted workflows responsibly
8 focused modules

Your learning roadmap

Explore the concepts and practical activities that form the program. Modules may span part of a session or more than one session, depending on the topic.

MODULE 01Data thinking

Explore data thinking through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

MODULE 02Spreadsheets for analysis

Explore spreadsheets for analysis through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

MODULE 03SQL foundations

Explore sQL foundations through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

MODULE 04Cleaning and preparation

Explore cleaning and preparation through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

MODULE 05Visualization and storytelling

Explore visualization and storytelling through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

MODULE 06Python for data

Explore python for data through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

MODULE 07AI concepts and responsible use

Explore aI concepts and responsible use through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

MODULE 08Insight dashboard capstone

Explore insight dashboard capstone through explanation, demonstrations and guided exercises. Practise the techniques, discuss common mistakes and connect what you learn to the program’s practical work.

Who should join?

This program is suitable for learners interested in data & ai, including students, working professionals, entrepreneurs and people developing a portfolio. Check the entry requirements below to understand the recommended starting point.

What you need

No data experience is required. Basic comfort using a computer is enough to begin.

Keep regular time for practice outside class. A stable internet connection and an environment where you can concentrate will help you get the most from each session. If device access is a concern, ask admissions before enrolling.

Learning that fits into your week

6Weeks of learning
2Sessions each week
2Hours per session

Online sessions bring structure to your learning. Between classes, revisit the concepts, complete exercises and develop your project. Choose your preferred schedule when applying; the school confirms the available timetable for your intake.

Learn by building

Practical work connects separate topics and helps you explain your decisions. Projects and tools may be adapted to your starting level and the class timetable.

01

Business performance dashboard

A focused exercise or project that develops skills from this program.

02

Customer data analysis

A focused exercise or project that develops skills from this program.

03

Data storytelling presentation

A focused exercise or project that develops skills from this program.

Completion and certification

A Briwnet School completion certificate is available when you meet the program’s project and assessment requirements. Admissions will confirm those requirements before enrolment.

A completion certificate records your participation and achievement in the program. It does not replace a degree or a separate professional certification.

Where this skill can take you

This course gives you foundations to build on. With further practice, experience and any additional qualifications required, you can explore pathways such as:

Junior Data AnalystReporting AssistantBusiness Intelligence Intern

Roles, earnings and employment are not guaranteed. Continue developing your portfolio and experience after the course.

The first step is yours

Start with curiosity.
Leave with capability.

You don’t need to have it all figured out. Choose a direction, tell us your goals and let’s explore your next step together.

Apply for Admission ↗No referral required. No payment at application.
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