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Orfone Tower 105, Taleh street, Hodan
Welcome to DARA INSTITUTE Our Best Education
DARA Institute is a dynamic organization dedicated to strengthening individuals and communities through practical education, skills development, and research-driven solutions. By integrating multiple sectors such as technology, health, governance, and livelihoods, it delivers hands-on training and evidence-based programs that promote sustainable development. Working in partnership with governments, NGOs, and private sector actors, the Institute focuses on creating inclusive, real-world impact and long-term social and economic growth.
The Data Analytics Masterclass at Dara Institute is a comprehensive, career-focused training programme designed to equip students and professionals with the most in-demand data analytics and business intelligence skills used in todayβs modern workplace.
This professional programme combines three essential tools used by data analysts worldwide:
π Microsoft Excel Data Analytics
π» SQL Database Analytics
π Power BI Business Intelligence
From beginner to advanced level, participants will learn how to collect, clean, analyze, transform, visualize, and present data for business decision-making and organizational performance improvement.
The programme emphasizes practical learning through hands-on exercises, real-world datasets, interactive dashboards, business reporting, and analytics projects that prepare learners for professional careers in data analysis and business intelligence.
Beginner to Advanced Learning Path
Hands-on Practical Training 80%
Real-World Analytics Projects
Interactive Dashboards & Reporting
Business Intelligence Skills
Professional Trainers & Mentorship
Industry-Relevant Curriculum
Certificate of Completion
After completing the programme, participants can pursue careers such as:
Data Analyst
Business Intelligence Analyst
Reporting Officer
Dashboard Developer
Operations Analyst
Monitoring & Evaluation Assistant
Business Analyst
Data Reporting Specialist
This programme is suitable for:
University students and graduates
Data analytics beginners
NGO and humanitarian staff
Business and finance professionals
Monitoring & Evaluation officers
Office administrators
Entrepreneurs and business owners
Anyone interested in data analytics careers
Participants will learn:
Excel formulas and functions
Data cleaning and preparation
Pivot Tables and Pivot Charts
Interactive dashboards
Power Query and Power Pivot
KPI reporting
Data visualization
Business reporting automation
Participants will learn:
SQL fundamentals and database concepts
Data filtering and querying
Joins and table relationships
Aggregate functions and KPI reporting
Business analytics queries
Data transformation techniques
Real-world database projects
Participants will learn:
Power BI dashboards and reports
Data visualization techniques
DAX calculations and KPIs
Power Query transformation
Interactive business intelligence dashboards
Real-time analytics
Dashboard publishing and sharing
Virtual / Online:
Live interactive sessions, case studies and assignments
Physical (Limited Seats):
Face-to-face sessions with group work, role plays and practical exercises
Participants will gain practical experience and professional skills applicable in real workplace environments.
Dara Institute is committed to empowering individuals and institutions through high-quality education, practical skills development, and technology-driven learning solutions. The Institute delivers industry-aligned programmes that support career growth, professional excellence, and modern workforce readiness.
Duration
4 Months.
Delivery Mode : Blended Learning (Physical & Online).
Sessions: twice a week β 2 hours/session
Schedule
July, 2026Skill Level
BeginnerLanguage
English, SomaliCertificate
Diploma
Certification
Participants who successfully complete all masterclass requirements and practical assessments will be awarded the:
Data Analytics Masterclass
Issued by: DARA Institute This certificate confirms successful completion of intensive training in data analytics, including data collection, cleaning, analysis, visualization, interpretation, and data-driven decision-making using industry-relevant tools and techniques.