Research & Data Analysis Program (RDAP)
2026 Pilot Cohort | 4-Month Structured Program
Build strong analytical and methodological skills for academic, policy, and applied research.
Who is this Program For?
Students
Undergraduate and Postgraduate students
Researchers
Research assistants and academics
Policy Analysts
Government and NGO practitioners
Data Enthusiasts
Those seeking research skills
Tools You Will Learn
SPSS
Statistical Package for Social Sciences
R Programming
Statistical computing and graphics
Microsoft Word
Academic writing and formatting
PowerPoint
Research presentation and visualization
Excel
Data organization and basic analysis
Research Methods
Qualitative and quantitative approaches
What You Will Learn
Statistical Reasoning
Apply statistical methods to research problems
Research Design
Design and evaluate research studies
Data Analysis
Analyze data using SPSS and R
Interpretation
Interpret statistical results correctly
Research Writing
Write and present findings professionally
End-to-End Research
Conduct data-driven research
Program Structure
Duration
4 Months (Teaching Phase)
Mode
Live Virtual Sessions
Projects
Mentored Capstone Project
Certification
iPace Data Academy Certificate
Course Descriptions
1. Statistics for Research
Topics Covered:
- Descriptive statistics and data visualization
- Probability theory and distributions
- Hypothesis testing and confidence intervals
- Statistical inference and interpretation
2. SPSS for Research Data Analysis
Topics Covered:
- Data entry and variable management
- Data cleaning and transformation
- Statistical analysis procedures
- Output interpretation and reporting
3. Research Methods and Design
Topics Covered:
- Research design types and selection
- Sampling methods and techniques
- Measurement and validity
- Research ethics and integrity
4. Research Writing and Presentation
Topics Covered:
- Academic writing structure and style
- Results reporting and interpretation
- MS Word formatting for research
- PowerPoint presentation skills
5. Introduction to R Programming for Research
Topics Covered:
- R fundamentals and syntax
- Data handling and manipulation
- Basic statistical analysis in R
- Visualization with ggplot2
6. Cross-Program Seminar Courses
Topics Covered:
- Responsible Use of AI in Research
- Digital & Data Thinking
- Data Visualization & Interpretation
Certification
Official iPace Data Academy Certificate Template
Official Certificate
Recognized by iPace Data Academy and iPace Concepts
Verified Competence
Capstone project defense required for certification
Global Recognition
Comparable to top global certifications in data analytics
University Model
Rigorous academic standards with mentorship support
Tuition
Fee
₦150,000
Options
Installment plans available
Words from the Head of Program
"RDAP transforms learners into elite research practitioners through rigorous academic workflows and applied research integration."
Instructors
Statistics Expert
Research Methodology Specialist
SPSS Instructor
Statistical Software Expert
Writing Mentor
Academic Writing Specialist
Ready to Start Your Journey?
Join the 2026 Pilot Cohort and transform your career with iPace Data Academy's structured, university-model education. Limited seats available for this exclusive program.
Program Starts
January 2026
Delivery Mode
100% Virtual (Live Sessions)
Certificate
Official iPace Data Academy Certificate
Support
24/7 Mentorship & Technical Support
Questions? Contact us at ipace2024@gmail.com or WhatsApp +2348111986185
