Excel Mastery Workshop, Cohort2
Join our upcoming workshop to learn, connect, and grow with industry experts.
Workshop Details
From: September 1, 2025 – To: November 30, 2025
Time: 7 PM-8:30 PM
Platform: Microsoft Teams
Amount: KES 20,000
About this Workshop
Overview:
For months, we’ve been building something special—an Excel Mastery Workshop designed for everyone. Whether you're a student, business owner, or working professional, Excel is one skill that always comes in handy.
With AI and automation changing the game, one thing remains true: you still need to know your numbers. Even AI relies on clean, structured data—and that’s where Excel comes in.
This 3-month hands-on workshop will take you from zero to Excel pro, covering everything from basic formulas to advanced dashboards and automation.
Objective
This workshop is designed to equip anyone—regardless of background—with practical Excel skills that are essential in today’s data-driven world.
With AI and automation reshaping industries, understanding Excel is more important than ever. From small business owners managing finances to corporate professionals handling data, Excel remains a must-have skill.
By the end of this 3-month hands-on workshop, you'll be able to analyze data, build dashboards, automate tasks, and work smarter—not harder.
Course Outline
Meet Our Trainer
Mulei Mutava
Mulei Mutava is an applied economist with expertise in trade, capital markets, and regional integration. He holds a research fellowship at the New South Institute. His academic background includes undergraduate studies at Kenyatta University in Kenya and a master's degree from the University of Cape Town in South Africa. Mulei demonstrates a strong passion for data, having engaged extensively in data-intensive projects at the Capital Markets Authority of Kenya and COMESA. Recently, he has published research on migration trends in Africa with the New South Institute. His research interests encompass the role of finance in economic integration, and he is also committed to mentoring emerging data analysts, bridging the gap between academia and practical applications of data science.