📊 Data Science & Analytics
Levels: Beginner | Intermediate | Advanced
Offered by: Billbrain Institute of Technology
📘 Course Overview
The Data Science & Analytics course is designed to equip learners with the tools and techniques for collecting, analyzing, visualizing, and interpreting data to support data-driven decision-making. This hands-on, multi-level course blends statistics, programming, and business insight—preparing learners for modern roles in data analysis and science across industries.
Whether you’re new to data or looking to advance into machine learning and predictive modeling, this course provides a solid foundation and professional skill development.
🧩 Beginner Level – Introduction to Data & Analytical Thinking
🧠 What You Will Learn
📈 Understanding types of data and data life cycle
🧠 Basics of statistical thinking and descriptive analytics
🖥️ Introduction to Microsoft Excel/Google Sheets for data work
💡 Visualizing data using charts, tables, and dashboards
🔤 Introduction to data ethics and interpretation
🗃️ Basic introduction to databases and data structures
🎯 Target Audience
Beginners, business professionals, students, and anyone curious about data.
⏱️ Course Duration
6 weeks (3 sessions per week, 2 hours per session)
💼 Prerequisites
None
⚙️ Intermediate Level – Applied Data Analytics with Python & SQL
🧠 What You Will Learn
🐍 Data manipulation using Python (Pandas, NumPy)
💾 Introduction to SQL and querying relational databases
📊 Exploratory data analysis and statistical inference
📉 Data cleaning, formatting, and transformation
📈 Building and customizing visualizations using Matplotlib/Seaborn
🧪 Working with real-world datasets and analytics projects
🎯 Target Audience
Graduates of the Beginner level, or professionals looking to apply coding to data tasks.
⏱️ Course Duration
6 weeks (3 sessions per week, 2 hours per session)
💼 Prerequisites
Completion of Beginner Level or prior basic programming knowledge
🧠 Advanced Level – Machine Learning & Predictive Analytics
🧠 What You Will Learn
🧠 Introduction to machine learning concepts and algorithms
🧮 Supervised vs. unsupervised learning techniques
🔍 Model building using Scikit-learn (regression, classification, clustering)
📉 Evaluating model performance and fine-tuning
🧾 Introduction to AI, predictive analytics, and big data basics
🚀 Capstone project: Build and present a real-world data science project
🎯 Target Audience
Aspiring data scientists, analysts, and professionals looking to advance in tech, finance, health, or business.
⏱️ Course Duration
6 weeks (3 sessions per week, 2 hours per session)
💼 Prerequisites
Completion of Intermediate Level or solid understanding of Python & statistics
💰 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 Analyst
Junior Data Scientist
Machine Learning Assistant
Research & Evaluation Associate
Reporting & Analytics Officer