Data Analytics & Business Intelligence
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CRIBI Academy Course

Data Analytics & Business Intelligence

A practical CRIBI Academy course on data analysis, dashboards, visualization, AI-assisted analytics, and decision intelligence.

Audience

Students, managers, entrepreneurs, professionals, administrators, and organizational teams

Duration

3–4 weeks depending on delivery format

Mode

In-person, hybrid, or online

Certification

Certificate of Participation issued by CRIBI, Kenya Methodist University

Data Analytics & Business Intelligence

Course Overview

Data analytics and business intelligence are now essential skills for modern institutions, businesses, governments, startups, and development organizations. This practical CRIBI Academy course introduces participants to the tools, thinking, and workflows needed to turn raw data into useful insights, dashboards, reports, and evidence-based decisions. Participants will learn how to clean, organize, analyze, interpret, and present data in ways that support planning, monitoring, evaluation, operations, business strategy, and institutional performance. The course emphasizes practical analytics rather than theory alone, helping participants build dashboards, visual summaries, and decision-ready reports. The course also introduces AI-assisted analytics, allowing participants to use modern AI tools to summarize datasets, identify trends, generate insights, support report writing, and improve data storytelling. By the end of the training, participants will be able to use data more confidently for decision-making, communication, reporting, and performance improvement.

Who Should Attend

Students and graduates seeking practical data analytics and employability skills.
Managers, administrators, and professionals who need to make better decisions using data.
Entrepreneurs and startups interested in dashboards, customer insights, and performance tracking.
Researchers, NGOs, county teams, and institutional units working with reports, surveys, monitoring data, or operational records.

Learning Outcomes

Understand the role of data analytics and business intelligence in decision-making.
Clean, organize, and prepare datasets for analysis and reporting.
Create practical dashboards, charts, and visual summaries.
Use AI tools to support data interpretation, reporting, and insight generation.
Communicate insights clearly through data storytelling and executive summaries.
Apply analytics to institutional, business, research, and operational decision contexts.

Tools & Skills Covered

Excel AnalyticsPower BI-style DashboardsGoogle SheetsData CleaningData VisualizationAI-Assisted AnalyticsDashboard DesignData StorytellingBusiness IntelligenceDecision Intelligence

Course Outline

Module 1

Introduction to Data Analytics and Business Intelligence

Module 2

Data Collection, Cleaning, and Preparation

Module 3

Exploratory Data Analysis and Pattern Discovery

Module 4

Charts, Dashboards, and Visual Communication

Module 5

AI-Assisted Analytics and Insight Generation

Module 6

Data Storytelling for Reports and Presentations

Module 7

Business, Institutional, and Research Analytics Use Cases

Module 8

Capstone Practical: Build a Decision Dashboard and Insight Report

Ready to Join?

Register your interest in this CRIBI Academy short course. The programme can be delivered to students, staff, faculty, industry teams, partner institutions, startups, and professional groups.