Data Analysis

Become a Data Analyst in 8 Weeks

Learn to analyze and interpret data insights to make informed decisions and drive business success through analytics.

Virtual

Learn at your own pace

Physical (Next Cohort)

1st September, 2026

Duration

2-months

Overview

What you will learn

This session introduces the fundamentals of data analytics and its role in informed decision-making, covering the four types: descriptive, diagnostic, predictive, and prescriptive analytics. It also walks through the Excel interface, key navigation tips, shortcuts, and essential formulas such as SUM, AVERAGE, COUNT, IF, VLOOKUP, and HLOOKUP. Participants learn data formatting, validation, sorting, and filtering techniques, and apply these skills through hands-on projects that involve cleaning a sales dataset and creating a basic sales report using Excel.

This module introduces relational databases and SQL, covering core concepts, basic queries, filtering, sorting, and handling duplicates. It advances into aggregations, joins, subqueries, CTEs, and conditional logic, then focuses on SQL for analytics with window functions, performance optimization, views, and indexing basics. Learners apply these skills through hands-on projects involving employee and customer data, multi-table analysis, growth and cohort analysis, and a final e-commerce capstone focused on customer lifetime value.

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Learners
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Facilitators
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Success rate
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Years Experience
Pricing
  • Physical
  • Online
Investment Fee

N300,000

Investment Fee

N150,000

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