📊 Data Analytics & Visualization
Levels: Beginner | Intermediate | Advanced
Course Overview
The Data Analytics & Visualization course focuses on transforming raw data into clear, actionable insights through analysis and compelling visual storytelling. Learners will explore tools like Excel, Power BI, Tableau, and Python to clean, analyze, and present data in meaningful ways.
Ideal for business professionals, analysts, and aspiring data storytellers, this course is practical, tool-driven, and structured for learners at all levels.
Beginner Level
(Fundamentals of Data Analysis)
What You Will Learn
Introduction to data analytics and key concepts
Descriptive statistics and data types
Data analysis using Microsoft Excel or Google Sheets
Creating basic charts, graphs, and pivot tables
Data entry, cleaning, and formatting best practices
Interpreting data and presenting basic insights
Target Audience
Beginners, business users, researchers, students, and professionals in non-technical fields.
Course Duration
6 weeks (3 sessions per week, 2 hours per session)
Prerequisites
None
Intermediate Level
(Visual Analytics with Power BI & Tableau)
What You Will Learn
Data modeling and relationships
Connecting to multiple data sources
Building interactive dashboards in Power BI/Tableau
Applying calculated fields and measures (DAX basics)
Publishing and sharing dashboards
Using filters, slicers, and drill-down visualizations
Target Audience
Professionals, data officers, and learners ready to move beyond spreadsheets into dashboarding and real-time analytics.
Course Duration
6 weeks (3 sessions per week, 2 hours per session)
Prerequisites
Completion of Beginner Level or strong proficiency in Excel
Advanced Level
(Data-Driven Storytelling with Python & Advanced Tools)
What You Will Learn
Data analysis with Python (Pandas, NumPy)
Visualizations using Matplotlib, Seaborn, or Plotly
Exploratory data analysis (EDA) techniques
Building dynamic reports and automated visuals
Storytelling techniques for data presentations
Capstone project using real-world datasets
Target Audience
Analysts, business intelligence professionals, and learners aiming for roles in data communication and reporting.
Course Duration
6 weeks (3 sessions per week, 2 hours per session)
Prerequisites
Completion of Intermediate Level or basic Python programming experience
Fees
Application Fee: UGX 30,000/=
Tuition Fee: UGX 550,000/= (Per Level)
Certification
Certificate of Completion awarded at each level by Billbrain Institute of Technology
Career Pathways
Data Analyst
Business Intelligence Officer
Reporting & Dashboard Developer
Data Visualization Specialist
Research and M&E Assistant