Data Analytics
Build practical analysis, dashboarding, communication, and decision-support skills for business and social impact teams.
- SQL and spreadsheets
- Dashboards and visualization
- Analytics storytelling
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
Data Governance Course Outline: Weekly BreakdownCourse OverviewData Governance is the bridge between raw information and...
Jul 18, 2026
- Sep 5, 2026
9 AM-12:00 PM
Data Analytics
Course OutlineDayDateObjectiveDeliveryBasic ExcelDay 1Monday03/08/2026Onboarding – Course outlineIntroduction to Excel I...
Aug 3, 2026
- Oct 21, 2026
7 PM-8:30 PM
Each 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 KE.
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.