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.

Target Group
  • College and university graduates
  • Business and IT professionals
  • Career switchers into data roles
  • Entrepreneurs & startup founders
  • Freshers with interest in data
Certification

Award: Certificate of completion.

Requirement: Attendance, class participation, assignments and final project.

Purpose: Equips learners with foundational skills in business data analysis.

Entry Requirements
  • 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 18,500

Includes course materials, datasets, software access, project supervision, and certification.

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