Phoenix Cultivate Academy now organizes learning into Data Analytics, Data Science, and Data Engineering tracks. Workshops, masterclasses, and mentorships live under each track and are pulled from the academy database as they are published.
Pick the technical direction that matches your next role, then explore the workshops, masterclasses, and mentorships available inside that track.
Build practical analysis, dashboarding, communication, and decision-support skills for business and social impact teams.
Work through statistical thinking, machine learning, experimentation, AI workflows, and portfolio-ready applied projects.
Learn how reliable data systems are designed, automated, cleaned, tested, and made useful for analytics and product teams.
These cards pull from workshops, masterclasses, and mentorships in the platform, grouped by their selected program track in the admin.
Data Analytics
Course Outline Day Date Objective Delivery Basic Excel Day 1 Tuesday 01/...
Sep 1, 2026
- Nov 19, 2026
7 PM-8:30 PM
Data Analytics
SQL AMA Core ObjectivesTo equip you with in depth understanding of SQL syntax and correct application for analytics and...
Sep 3, 2026
- Nov 16, 2026
7.30 pm-9 pm
Data Science
AI AGENTS MASTERCLASS (RAG) Training Objective To equip campus learners with practical, end-to-end skills to understan...
Aug 8, 2026
- Sep 3, 2026
7.00-8.30pm
Data Engineering
ETL WORKSHOPFrom Raw Data to Structured PipelinesObjectiveIn this Masterclass, we will build data pipelines from the gro...
Oct 20, 2026
- Nov 19, 2026
7.00-8.30pm
Data Analytics
This is our first full end-to-end data analytics programme.Not topic by topic. Not tool by tool. Everything in one place...
Jan 18, 2027 - Jul 18, 2027
View ProgramEach format has its own pace, but the method stays consistent: learn in context, build something practical, get feedback, and stay connected to the community afterwards.
Start with Data Analytics, Data Science, or Data Engineering based on the role and skills you want to build.
Every program is built around real tools, real examples, and the kind of work expected from data teams.
Turn sessions into projects, portfolio assets, stronger profiles, and clearer evidence of what you can do.
After the session, you remain connected to peers, mentors, events, and talent opportunities across Phoenix Africa.
Start with Data Analytics if you want business-ready insight skills, Data Science if you want applied modeling, or Data Engineering if you want to build reliable data systems.