Introduction to Data Analysis – Nigeria
Description
Course Overview
Introduction to Data Analysis equips learners with essential skills for collecting, preparing, exploring, and interpreting data to support informed decisions. The course introduces data types, sources, analytical processes, ethical data use, and quality management, creating a strong foundation for learners who want to work confidently with information across business and professional settings.
Learners develop skills in data cleaning, descriptive statistics, pattern identification, spreadsheet formulas, filtering, pivot tables, charts, and data visualisation. They learn how to compare groups, identify outliers, interpret trends, and select suitable methods for presenting analytical results clearly.
The course progresses to analysing datasets, defining analytical questions, drawing evidence-based conclusions, and communicating findings. Learners finish able to create structured reports, present actionable insights, and apply Data Analysis skills to workplace decisions, projects, and further study.
Key Topics Included
- Data Analysis processes, data types, sources, and ethics
- Data collection, preparation, cleaning, and quality management
- Descriptive statistics, patterns, variation, and outliers
- Spreadsheet formulas, functions, filtering, and pivot tables
- Data visualisation, charts, trends, and interpretation
- Analytical questions, evidence-based conclusions, and reporting
Entry Requirements
No previous Data Analysis qualification or professional experience is required. Learners should have basic computer and numeracy skills, along with familiarity with everyday spreadsheet use. An interest in working with data, reports, or business information is beneficial.
Who is This Course For
This course is ideal for beginners, students, administrators, business professionals, aspiring data analysts, entrepreneurs, and career changers seeking foundational Data Analysis skills. It can also benefit employees who work with spreadsheets, reports, performance information, customer data, operational records, or business metrics.
Course Curriculum
Frequently Asked Questions
Yes. The course is designed for beginners and does not require previous Data Analysis experience or advanced technical knowledge. Basic computer and numeracy skills will help learners progress through the course comfortably.
You will learn how to collect, organise, clean, explore, and interpret different types of data. You will also develop skills in descriptive statistics, spreadsheet formulas, pivot tables, charts, data visualisation, analytical reporting, and communicating findings.
Yes. Data Analysis skills are valuable across business, finance, marketing, administration, operations, research, and many other sectors. The course can provide a foundation for further training and entry-level opportunities involving data, reporting, analytics, or business information.
Yes. Learners who successfully complete the course will receive a certificate of completion. This can demonstrate your commitment to developing foundational Data Analysis knowledge and skills.
The course covers data collection, preparation, cleaning, descriptive statistics, exploratory analysis, spreadsheets, pivot tables, and charts. It also covers data visualisation, interpretation, analytical questions, evidence-based conclusions, reporting, and presenting actionable insights.