Data Analytics and Business Intelligence
Course Overview
- Understand the fundamental concepts of data analytics and business intelligence (BI).
- Learn how to extract, clean, analyze, and visualize data for decision-making.
- Explore key BI tools and techniques to derive actionable insights.
- Apply data-driven approaches to solve real-world business problems.
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Training Format:In-class, Virtual, In-house
Location:Lagos, Accra, Nairobi, Kigali
Language:English, French
Nigeria Price:
₦350000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$5500
Rwanda Price:
$6000
Nigeria Price:₦350000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$4000
Rwanda Price:
$4000
Nigeria Price: ₦350000
Int'l., (Nigeria) Price:
$1000
Ghana Price: $4000
Kenya Price: $4000
Rwanda Price: $4000
Introduction to Data Analytics and Business Intelligence
- Overview of Data Analytics and BI
- Importance of Data-Driven Decision Making
- Key Concepts: Data Types, Metrics, and KPIs
- Introduction to Tools and Platforms (Excel, Tableau, Power BI)
Data Preparation and Cleaning
- Data Collection Methods
- Data Cleaning Techniques
- Handling Missing, Inconsistent, and Duplicate Data
- Organizing Data for Analysis
Data Analysis and Visualization
- Descriptive and Exploratory Data Analysis
- Data Visualization Best Practices
- Creating Dashboards and Reports
- Tools in Action: Building Visualizations with Tableau/Power BI
Business Intelligence Applications and Case Studies
- Applying BI in Marketing, Sales, and Operations
- Case Studies: Real-World BI Solutions
- Challenges and Ethical Considerations in BI
- Course Recap and Q&A
1ST BATCH: Tuesday, February 10, 2026 — Friday, February 13, 2026.
2ND BATCH: Tuesday, June 2, 2026 — Friday, June 5, 2026.
3RD BATCH: Monday, September 28, 2026 — Wednesday, September 30, 2026.
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.
