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Jooi Centre - Kikuyu Town

Business Intelligence

Fast-track your Business Intelligence career with hands-on data analysis, real-world projects, and industry-aligned skills — all packed into a practical, career-focused program. Collect, analyze, and visualize data while mastering modern BI tools and best practices.

Program Highlights

Key details at a glance — here’s what you can expect from our Business Intelligence course.

Learning Format:

Hybrid: Online & Physical

Next Intake:

Intake Ongoing

Duration:

12 Months

About the Course

This course introduces you to professional Business Intelligence — from core data analysis fundamentals to building interactive dashboards. You’ll learn different data tools, database design principles, data warehousing, data modeling, and visualization workflows. By the end, you’ll be able to design, implement, and deliver reliable data-driven solutions and maintain a portfolio of production-ready projects.

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Sneak Peek of the Course: Analysing data to get valuable insights for good decision making.

Course Details

This course is a practical, career-focused path into data-driven decision-making. You’ll work through structured modules that combine theory with applied labs and projects, producing a portfolio of dashboards and reports that demonstrate your ability to design, build, test, and deploy BI solutions in real environments.

What is Business Intelligence?

Business Intelligence (BI) is the systematic approach to collecting, analyzing, and presenting business data to help organizations make better decisions. In this course, you’ll learn how to translate raw data into valuable insights, structure reports for clarity, and apply best practices that professional data analysts use every day.

Who is this course for?
  1. Students: Build a strong foundation in data analysis and systems thinking.
  2. Aspiring Analysts: If you have a passion for numbers and data storytelling.
  3. Entrepreneurs & Product Builders: Learn to track key metrics and make data-driven decisions.
  4. Professionals: Upskill into data analysis, BI, or technical roles.
What are the course requirements?
  1. Basic Computer Literacy: Comfortable using a computer and navigating the web.
  2. Access to a Computer & Internet: A modern browser and stable internet connection for labs.

We welcome beginners — the course starts with fundamentals and scales up to professional practice.

Why learn this course?
  1. Practical Data Skills: Learn the tools and languages used by professional teams.
  2. Build Real Dashboards: Create projects you can showcase to employers.
  3. Adopt Data Practices: Data cleaning, transformation, and visualization.
  4. Career-Ready: Prepare for roles such as data analyst, BI developer, or data specialist.
  5. Problem-Solving: Strengthen analytical and critical thinking skills.
Why study at Lio College?
  1. Hands-On Projects: A majority of the course is practical labs and collaborative builds.
  2. Industry-Experienced Instructors: Learn from data professionals and analysts.
  3. Career Support: Guidance on building a portfolio, preparing CVs, and interview practice.
What is the mode of study?

Choose between in-person on campus or online attendance. Classes are live and interactive, supported by an online learning platform with data labs, resources, and mentor support to reinforce learning.

Curriculum Overview

Our curriculum is divided into five progressive phases. Each phase builds on the last — from understanding data principles to mastering advanced BI. Along the way, you’ll apply theory through hands-on projects, collaborate in teams, and prepare for real-world roles in data analysis.

Career Development & Professional Skills
  • Portfolio Workshops: How to package and present your data projects.
  • Career Coaching: CV writing, interview prep, and career pathway guidance.
  • Soft Skills: Communication, teamwork, and project management.
  • Networking: Connect with industry mentors and opportunities.
Phase 1 – Data Fundamentals & Analysis
  1. Data Principles: Understand the lifecycle of data from collection to insight.
  2. Problem Solving: Learn analytical thinking and basic data structures.
  3. Tools: Introduction to Excel and Python for data analysis.
  4. Analytical Mindset: How data professionals think, clean data, and structure reports.
Phase 2 – SQL & Relational Databases
  1. SQL Fundamentals: Write powerful queries to extract and manipulate data.
  2. Database Management: Design schemas and understand relational database concepts.
  3. Data Cleaning: Use SQL to clean, transform, and prepare data for analysis.
  4. Projects: Analyze data from real-world datasets using SQL.
Phase 3 – BI Visualization & Dashboards
  1. Power BI & Tableau: Master industry-leading BI tools for visualization.
  2. Dashboard Design: Learn to create clear, interactive, and impactful dashboards.
  3. Data Storytelling: Communicate insights effectively through visuals.
  4. Mini Projects: Build and present dashboards from real business data.
Phase 4 – Advanced Data Modeling & ETL
  1. Data Modeling: Learn advanced techniques for structuring data for analysis.
  2. ETL Processes: Understand Extract, Transform, and Load workflows.
  3. Advanced Visualization: Create complex reports and interactive charts.
  4. Hands-On Projects: Real-world scenarios simulating industry data pipelines.
Phase 5 – BI System Development & Industrial Attachment
  1. BI System Development: Learn to plan, design, and build end-to-end BI solutions.
  2. Industrial Attachment: Apply classroom knowledge in real work environments.
  3. Capstone Project: Deliver a full BI project showcasing all skills learned.
  4. Portfolio Building: Publish your work online and present it to potential employers.

Career Pathways


Completing this course opens doors to high-demand roles across business intelligence and data analytics. Select a pathway below to explore how you can apply your skills.

Business Intelligence Analyst

Collect, analyze, and visualize data to provide actionable insights that drive business decisions and improve performance.

Data Analyst

Specialize in cleaning, transforming, and interpreting data to find trends and patterns that solve business problems.

BI Developer

Develop and maintain BI systems, data warehouses, and dashboards using tools like Power BI and Tableau.

Data Engineer

Build and manage the pipelines and infrastructure needed to get data from source systems into analytical platforms.

Ready to Build Your Career in Business Intelligence?

Join the next intake and gain practical, in-demand skills that will launch your career as a data professional or analyst.