Applied Data Analysis Program (ADAP)
2026 Pilot Cohort | 4-Month Structured Program
Analyze, interpret, and communicate data for business, policy, and decision-making.
Who is this Program For?
Business Professionals
Seeking data skills for decision-making
Students
Undergraduate and graduate students
Policy Analysts
Government and NGO practitioners
Career Changers
Seeking data analyst roles
Tools You Will Learn
Excel
Data cleaning, pivot tables, analysis
Python
Pandas, NumPy, Matplotlib for EDA
Power BI
Interactive dashboards and reporting
Tableau
Data storytelling and visualization
Statistics
Descriptive and inferential analysis
Data Cleaning
Missing data, duplicates, formatting
What You Will Learn
Statistical Reasoning
Apply statistics to real datasets
Data Cleaning
Prepare and structure raw data
Dashboarding
Design dashboards in Power BI & Tableau
Data Analysis
Analyze data using Excel and Python
Interpretation
Interpret results beyond charts
Communication
Communicate insights clearly
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 Data Analysis
Topics Covered:
- Descriptive statistics and data visualization
- Probability theory and distributions
- Hypothesis testing and confidence intervals
- Statistical inference and interpretation
2. Data Cleaning and Preparation with Excel
Topics Covered:
- Handling missing data and duplicates
- Data formatting and standardization
- Data readiness and validation
- Excel functions for data preparation
3. Excel for Data Analysis
Topics Covered:
- Advanced Excel functions and formulas
- Pivot tables and data summarization
- Data analysis workflows in Excel
- Reporting and visualization in Excel
4. Exploratory Data Analysis with Python
Topics Covered:
- Pandas for data manipulation
- NumPy for numerical operations
- Matplotlib for data visualization
- EDA techniques and best practices
5. Power BI for Data Visualization
Topics Covered:
- Creating interactive dashboards
- Business reporting and KPIs
- Data modeling in Power BI
- Dashboard publishing and sharing
6. Tableau for Dashboard Design
Topics Covered:
- Data storytelling principles
- Dashboard design and layout
- Interactive visualizations
- Dashboard presentation skills
7. Cross-Program Seminars
Topics Covered:
- Digital & Data Thinking (1 Day)
- Responsible Use of AI (1 Day)
- Data Visualization & Interpretation (2 Days)
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
"ADAP transforms learners into elite data practitioners through rigorous academic workflows and applied research integration."
Instructors
Statistics & Analytics Faculty
Analytics and Statistics Specialists
Excel & BI Specialists
Excel and Business Intelligence Experts
Python & Data Analysis
Python Programming and EDA Experts
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
