📊 Statistical Data Analysis
Levels: Beginner | Intermediate | Advanced
Offered by: Billbrain Institute of Technology
📘 Course Overview
The Statistical Data Analysis course empowers learners with techniques to collect, summarize, analyze, and interpret data for evidence-based decision-making. This multi-level course emphasizes practical applications of statistics using tools such as Microsoft Excel, SPSS, and R.
Designed for researchers, analysts, students, and professionals across sectors, it provides essential analytical capabilities required in academia, development work, health, economics, and business intelligence.
🧩 Beginner Level – Introduction to Statistics & Data Handling
🧠 What You Will Learn
🔢 Basics of statistics: data types, variables, and levels of measurement
📊 Summarizing data using tables, graphs, and descriptive measures
🧮 Measures of central tendency (mean, median, mode) and dispersion (range, variance, standard deviation)
🧾 Introduction to Excel for data entry and basic calculations
📈 Creating and interpreting frequency tables and charts
🧰 Understanding sampling techniques and data quality
🎯 Target Audience
Beginners, students, early-stage researchers, and professionals with no prior statistics background.
⏱️ Course Duration
6 weeks (3 sessions per week, 2 hours per session)
💼 Prerequisites
None
⚙️ Intermediate Level – Applied Statistical Techniques & SPSS
🧠 What You Will Learn
📉 Probability distributions and hypothesis testing
🧪 T-tests, Chi-square tests, and ANOVA
📊 Correlation and simple regression analysis
🖥️ Using SPSS for data entry, management, and output interpretation
📁 Handling missing data and recoding variables
📤 Exporting reports and charts for presentations
🎯 Target Audience
Researchers, monitoring & evaluation officers, students in research-heavy programs, NGO data personnel
⏱️ Course Duration
6 weeks (3 sessions per week, 2 hours per session)
💼 Prerequisites
Completion of Beginner Level or foundational statistics knowledge
🧠 Advanced Level – Multivariate Analysis & Statistical Modeling with R
🧠 What You Will Learn
🔍 Multiple regression and logistic regression models
🧠 Factor analysis and principal component analysis (PCA)
🧮 Time series analysis and forecasting basics
📊 Advanced data visualization in R (ggplot2)
📁 Writing reproducible analysis reports
🧪 Final project: real-world dataset analysis using R or SPSS
🎯 Target Audience
Advanced researchers, analysts, postgrad students, data scientists, and M&E professionals
⏱️ Course Duration
6 weeks (3 sessions per week, 2 hours per session)
💼 Prerequisites
Completion of Intermediate Level or equivalent statistical/data analysis experience
💰 Fees
Application Fee: UGX 30,000/=
Tuition Fee: UGX 250,000/= (Per Level)
📜 Certification
Certificate of Completion awarded at each level by Billbrain Institute of Technology
🚀 Career Pathways
Research Assistant
Monitoring & Evaluation Officer
Statistical Analyst
Data Quality Analyst
Policy & Program Analyst
Health or Education Researcher