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Jooi Centre - Kikuyu Town

Data Visualization

Transform complex data into compelling stories. Master the art of designing and creating interactive charts, dashboards, and visual reports using industry-standard tools. Learn to communicate insights clearly and effectively.

Program Highlights

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

Learning Format:

Hybrid: Online and Physical classes

Next Intake:

Intake Ongoing

Duration:

4 Months

About the Course

This practical program teaches you the principles of Data Visualization— from understanding visual perception and design to creating impactful dashboards. You’ll learn how to choose the right chart for your data, use popular tools like Tableau and Power BI, and build a portfolio of engaging visualizations that tell a clear, concise story. By the end, you'll be able to turn raw data into actionable insights for any audience.

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Sneak Peek of the Course: Data visualization

Course Details

This course is a practical, career-focused path into the world of visual analytics. You’ll work through structured modules that combine design theory with hands-on projects, producing a portfolio of dashboards and reports that demonstrate your ability to communicate with data.

What is Data Visualization?

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. In this course, you will learn to move beyond basic charts and create powerful visual stories.

Who is this course for?
  1. Students: Build a valuable skill for any field, from business to science.
  2. Analysts & Marketers: Enhance your reports and presentations with powerful, easy-to-understand visuals.
  3. Aspiring Data Professionals: Add a critical skill to your resume and portfolio for roles in data analytics.
  4. Managers & Business Leaders: Learn to interpret and use visual data to make better business decisions.
What are the course prerequisites?
  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.

No prior experience with data or design is needed—the course starts with foundational concepts and scales up to professional practice.

Why learn this course?
  1. Practical Skills: Master essential tools like Tableau, Power BI, and Python libraries.
  2. Design Principles: Go beyond charts to learn what makes a visualization truly effective.
  3. Career Boost: Data visualization is a highly sought-after skill in a wide range of industries.
  4. Storytelling with Data: Learn to present data insights in a way that is memorable and persuasive.
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 analysts and visualization experts.
  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 code labs, resources, and mentor support to reinforce learning.

Curriculum Overview

Our curriculum is structured into three progressive phases, ensuring you build a strong understanding of visual design and data principles before moving to practical application and storytelling. Each phase blends theory with hands-on projects.

Phase 1 – Foundations in Data & Design
  1. Data Literacy: Understand data types, formats, and preparation for visualization.
  2. Design Principles: Learn about color theory, layout, and visual perception.
  3. Chart Selection: Master how to choose the right chart for your data and message.
  4. Basic Tools: Introduction to visualization in Excel and Google Sheets.
Phase 2 – Mastering Visualization Tools
  1. Tableau & Power BI: Hands-on training with industry-leading business intelligence tools.
  2. Interactive Dashboards: Build dynamic dashboards that allow users to explore data.
  3. Advanced Charting: Go beyond simple bar and line charts to create more complex visualizations.
  4. Data Connectivity: Connect to various data sources, from spreadsheets to databases.
Phase 3 – Storytelling & Portfolio Projects
  1. Data Storytelling: Learn to craft a narrative that guides your audience through the data.
  2. Project Management: Plan and execute a complete visualization project from start to finish.
  3. Portfolio Building: Develop a professional portfolio of visualizations to showcase your skills.
  4. Final Capstone: Design and present a comprehensive dashboard for a real-world dataset.

Career Pathways


Completing this course opens doors to high-demand roles that require the ability to visually communicate data. Select a pathway below to explore how you can apply your skills.

Data Analyst

Collect, clean, and interpret data to answer key business questions and create visual reports for stakeholders.

Business Intelligence Analyst

Develop interactive dashboards and reports to help organizations monitor performance and make data-driven decisions.

Reporting Specialist

Specialize in creating and maintaining regular reports and dashboards for different departments and clients.

UX/UI Designer

Apply principles of visual design and user experience to create effective and intuitive data visualizations for applications.

Ready to Launch Your Career in Data Visualization?

Join the next intake and gain practical, in-demand skills that will transform how you work with data.