Data Analysis
This course introduces learners to the fundamentals of data analysis, from understanding data types and sources to exploring patterns, correlations, and key metrics.
Fee: ₦300k ₦120k
Data Analysis is the practice of collecting, cleaning, and interpreting data to extract meaningful insights that support decision-making. It involves using tools and techniques to organize large datasets, identify trends, and visualize results in a way that is understandable and actionable. This course introduces learners to the fundamentals of data analysis, from understanding data types and sources to exploring patterns, correlations, and key metrics.
3 Months
Understanding the Role of Data in Business and Research
Core Concepts: Types of Data, Data Sources, and Metrics
Collecting Data from Various Sources (Online, Surveys, Databases)
Cleaning and Preparing Data for Analysis
Using Formulas, Functions, and Tables
Data Sorting, Filtering, and Conditional Formatting
Pivot Tables and Pivot Charts
Data Aggregation and Basic Statistical Analysis
Choosing the Right Charts
Creating Effective Visualizations (Bar, Line, Pie, etc.)
Understanding Databases and Tables
Writing Basic Queries (SELECT, WHERE, ORDER BY)
Filtering and Grouping Data
Using Aggregate Functions (SUM, COUNT, AVG)
Using Power BI or Tableau Basics
Building Simple Dashboards
Mean, Median, Mode, Standard Deviation
Understanding Trends and Patterns
Building Reports that Tell a Story
Presenting Data to Stakeholders Clearly
Data Analyst Career Paths and Certifications
Building a Portfolio and Preparing for Analytics Roles
Conducting a Complete Data Analysis on a Dataset
Presenting Findings and Recommendations
This course is designed to provide learners with a clear understanding of how data analysis works in today’s data-driven world. Participants will explore the sources and types of data, core analytical techniques, and the role of data in shaping business and research decisions. By the end of this module, learners will understand the core concepts that power modern analytics, from data collection and cleaning to visualization and interpretation.
In addition, the course aims to equip learners with the foundational skills needed to work confidently with datasets and analytical tools. Students will learn how different techniques and software work together to uncover insights, identify trends, and support decision-making
Target Students
Beginners who want to start a career in data analysis.
Professionals or students looking to enhance decision-making with data.
Entrepreneurs and small business owners who want to leverage insights from their business data.
Anyone interested in understanding how data can guide strategies and solutions.
Requirements
Basic computer and internet skills.
Willingness to learn and work with data sets
No prior data analysis experience required.
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