Data Analysis & Business Intelligence

Use data for better business decisions. The Data Analysis & Business Intelligence program helps learners find insights, create strategies, and communicate information for organisational success.

Program Overview

The Data Analysis & Business Intelligence course connects raw data to actionable business insights. Participants learn data lifecycle management, from collection and cleaning to advanced analysis and visualisation.

This foundation course blends theory with hands-on practice, guiding learners through the complete data workflow from preprocessing and visualization to building and interpreting predictive models.

Suitable for

Who This Program Is For?

This program is ideal for aspiring data analysts, business professionals, and managers seeking to leverage data for smarter decision-making. It also suits career changers aiming to enter the data analytics and business intelligence field.

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Skills

Skills You Will Gain

The following courses or modules are included in this program. Course content and structure may vary slightly by cohort.

Data Collection & Preparation

Learn to gather, clean, and structure raw data to ensure accuracy and reliability for analysis.

Exploratory Data Analysis

Acquire techniques to identify patterns, trends, and anomalies in data that reveal business opportunities.

Data Visualization & Dashboards

Master the art of creating intuitive dashboards and visual reports that simplify complex insights for stakeholders.

Business Intelligence Strategy

Understand how to translate data-driven insights into actionable strategies that optimize organizational performance.

Analytical Tools & Software Proficiency

Gain hands-on experience with leading analytics and BI platforms to tackle real-world business challenges efficiently.

Attendance

Program Structure

The curriculum follows a progressive structure, starting with data fundamentals, moving into hands-on analytics, visualization, and concluding with strategic business intelligence applications.

Curriculum

Courses Included

The following courses or modules are included in this program. Course content and structure may vary slightly by cohort.

Introduction to Data Analysis

Data Analysis: A Beginner’s Guide to Data Collection, Cleaning, Visualisation, and Interpretation for Informed Business Decisions

Excel for Data Analysis

Master Excel for data organisation, analysis, and visualisation. Learn formulas, pivot tables, charts, and basic reporting for informed decision-making.

SQL for Data Analysis

Master SQL for data querying, filtering, and analysis to gain insights and produce reports in data analysis and business intelligence projects.

Data Visualization

Learn to present data visually using charts, graphs, and dashboards for clear insights and decision-making.

Business Intelligence

Business Intelligence: Learn to collect, analyse, and visualise business data to make informed decisions and develop strategies.

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Available Cohorts

This program runs in fixed cohorts with limited seats to ensure focused instruction and effective learning.

Fri

15

May 2026

The May Cohort for Data Analysis & Business Intelligence equips participants with skills to extract, process, and interpret data for informed decision-making.

Duration: 3 Months
Tuition: ₦180000

Thu

10

Sep 2026

The May Cohort for Data Analysis & Business Intelligence equips participants with skills to extract, process, and interpret data for informed decision-making.

Duration: 3 Months
Tuition: ₦180000
Study

Learning Format

The course blends interactive lectures, guided projects, case studies, and practical exercises in a flexible online format, allowing participants to learn and apply skills at their own pace.

Certification

Upon successful completion, participants receive a recognized certificate in Data Analysis & Business Intelligence, validating their proficiency for career advancement.

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Registration Requirement

Applicants should have basic computer literacy, a readiness to work with data, and an enthusiasm for analytical problem-solving. No prior experience in coding or analytics is required, though it may be beneficial.

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