Data Analysis

Turn Raw Data into Business Intelligence

Unlock the power of information. Learn to collect, process, and visualize data to drive intelligent business decisions globally.

8 Weeks Duration
Apr 01, 2026 Start Date
Café one, Uptown Mall, Barnawa Kaduna Location
₦60,000 Tuition Fee
Data Analysis

This programme includes:

  • 5-month data specialization
  • Mastery of SQL & Python
  • Dashboarding with Power BI
  • Career-ready data portfolio
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From Beginner to Data Strategist

In a world overflowing with information, the ability to find the story within the numbers is a superpower. Our Data Analysis track equips you with the statistical knowledge and technical tools to turn raw data into actionable business intelligence.

Learn core design principles and how to tell compelling visual stories. You'll also build a strong, essential career skills to help you succeed.

EXP Advantage
The EXP Advantage

Professional Foundations

In today's competitive job market, technical skills aren't enough. Professional Foundations gives you a critical edge. You'll master essential skills like communication, teamwork, and problem-solving, which not only set you up for success in your program but also help you stand out to employers and launch your career.

All learners are required to complete the 3-month Professional Foundations module once before progressing into their chosen tech specialisation.

Who Should Enrol?

Analytical thinkers, researchers, and professionals looking to drive growth through data-driven insights.

Faith Idowu

Years of Experience: 3

Role: Junior Business Analyst

Age: 28

Country: Nigeria

Education: BSc Statistics

Goal: Lead Data-Driven Decision Making

Build Advanced Analytical Capability

Download Catalogue
Professional Foundations

Learn key leadership and professional skills over 3 months that will help you navigate and succeed in your career.

Statistical Foundations

Core principles of statistics, probability, and hypothesis testing required for accurate data interpretation.

Master the Spreadsheets

Advanced techniques including complex formulas, pivot tables, and data cleaning automation.

SQL & Querying

Learning how to communicate with databases. Writing efficient SQL queries to extract large datasets.

Visualization (Power BI)

Building interactive dashboards and visual stories to present insights to stakeholders clearly.

Python for Analysis

Introduction to Python libraries like Pandas and Matplotlib for high-level automated analysis.