Course Overview
This Business Data Analyst course equips learners with the analytical tools and techniques required to transform data into actionable insights. The course emphasizes skills in data visualization, statistical analysis, Excel, SQL, and business intelligence tools. Graduates are prepared to support data-driven decision-making in organizations across various industries.
- ✔College and university graduates
- ✔Business and IT professionals
- ✔Career switchers into data roles
- ✔Entrepreneurs & startup founders
- ✔Freshers with interest in data
Award: Certificate of completion.
Requirement: Attendance, class participation, assignments and final project.
Purpose: Equips learners with foundational skills in business data analysis.
- LEVEL: Form 4 leavers and above
- SKILLS: Basic computer literacy
- INTEREST: Keen interest in data and business trends
🕒 Full-Time
3 Months Intensive Course
🕒 Part-Time
6 Months (Weekends/Evenings)
Course Content
Module 1: Introduction to Data Analytics
- Understanding data in business
- Data life cycle and ethics
Module 3: Microsoft Excel for Analytics
- Data cleaning, charts and pivot tables
- Formulas and functions for analysis
Module 5: SQL for Data Analysis
- Querying databases
- Filtering, joining, grouping data
Module 7: Final Capstone Project
- Business case analysis using real-world dataset
- Presentation and visualization
Module 2: Data Visualization Concepts
- Types of charts and dashboards
- Best practices and storytelling with data
Module 4: Statistical Analysis
- Descriptive and inferential statistics
- Correlation and regression basics
Module 6: Power BI or Tableau
- Building dashboards
- Publishing and sharing insights
Module 8: Career Preparation
- Portfolio building and LinkedIn optimization
- Mock interviews and CV review
Career Progression
Job Roles
- Junior Data Analyst
- Business Analyst
- Reporting Analyst
- Operations Analyst
Advancement Paths
- Data Scientist (with further training)
- Business Intelligence Developer
- Analytics Manager
Course Fee
KES 12,000
Includes course materials, datasets, software access, project supervision, and certification.
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