iNovate Systems

iNovate Systems iNovate Systems Limited is a full-service information technology company headquartered in Nairobi.

🎯Turn Survey Data into Insights, Models & Real Solutions Do you have survey data but struggle to turn it into meaningful...
22/09/2026

🎯Turn Survey Data into Insights, Models & Real Solutions

Do you have survey data but struggle to turn it into meaningful insights?

Learn how to clean, analyze and visualize survey data, perform statistical analysis, build predictive models, create dashboards and develop practical data products.

🎓 Designed for:

Students
Data Analysts
Researchers
Data Scientists
Professionals working with data

- Learn using Python, R, Excel, Power BI, SQL & Tableau
- Work with real datasets and practical projects.
- Certificate awarded on completion.

Build skills you can apply to research, business and real-world data projects.

📩 [email protected]
📞 +254 719 307062 | +254 112 486126

👉 Enroll Now

🎯 START YOUR DATA SCIENCE JOURNEY! No Data Science background? No problem!Go from Python beginner to Machine Learning & ...
12/09/2026

🎯 START YOUR DATA SCIENCE JOURNEY!

No Data Science background? No problem!
Go from Python beginner to Machine Learning & AI step-by-step.

🔥 Master:
- Python & Business Statistics
- Machine Learning & AI
- Big Data & Predictive Analytics
- Power BI & Tableau
- FREE Generative AI Course

🎓 25 Weeks | Beginner-Friendly | Expert Trainers
💻 Physical & Online Classes

🚨 INTAKE ONGOING — REGISTER TODAY!

📞 +254 112 486 126 | +254 719 307 062
📧 [email protected]
🌐 www.inovatesystems.co.ke

Learn. Analyse. Predict. Innovate.

🎯Start Your Data Science Journey- No Data Science background? No problem. We take you from Python foundations to advance...
28/08/2026

🎯Start Your Data Science Journey

- No Data Science background? No problem.
We take you from Python foundations to advanced ML & AI applications step-by-step.

Perfect for students, professionals & career switchers.
One program. Multiple high-income skills.
- Python & Business Statistics
- Machine Learning & AI
- Big Data & Predictive Analytics
- Power BI & Tableau
- FREE Generative AI Course

Beginner-friendly • Expert trainers - 25 weeks • Physical & Online • Register today
+254 112 486 126 | +254 719 307062
[email protected]
www.inovatesystems.co.ke

AI-POWERED DATA ANALYTICSUsing MySQL • Excel • AITurn Data Into Insights. Drive Business Impact.- What You’ll Learn- SQL...
20/08/2026

AI-POWERED DATA ANALYTICS
Using MySQL • Excel • AI
Turn Data Into Insights. Drive Business Impact.
- What You’ll Learn
- SQL and Database Analytics
- Data Cleaning and Preparation
- Excel and Power Query
- PivotTables and Interactive Dashboards
- Business Reporting and Data Storytelling
- AI-Assisted Analysis and Insight Generation
- Practical Business Analytics Projects
Why Enrol?
Practical • Hands-On • Job-Ready
- Beginner-friendly training
- In-demand analytics skills
- Real-world business projects
- Certificate upon completion
- Online and physical classes
- Call to Action
REGISTRATION NOW OPEN
ENROL NOW AND BUILD FUTURE-READY DATA SKILLS!
📞 +254 112 486126
📞 +254 719 307062
✉️ [email protected]
iNovate Systems — Master Data. Drive Business. Lead Innovation

🎯Start Your Data Science JourneyNo Data Science background? No problem. We take you from Python foundations to advanced ...
20/08/2026

🎯Start Your Data Science Journey

No Data Science background? No problem.
We take you from Python foundations to advanced ML & AI applications step-by-step.
Perfect for students, professionals & career switchers.
One program. Multiple high-income skills.
✔ Python & Business Statistics
✔ Machine Learning & AI
✔ Big Data & Predictive Analytics
✔ Power BI & Tableau
🎁 FREE Generative AI Course
Beginner-friendly • Expert trainers
25 weeks • Physical & Online • Register today
📞 +254 112 486 126 | +254 719 307062
📩 [email protected]
🌐 www.inovatesystems.co.ke

Address

Reliable Towers, Mogotio Road/Westlands, Nairobi, City Estate
City Estate
0011

Opening Hours

Monday 09:00 - 17:00
Tuesday 09:00 - 17:00
Wednesday 09:00 - 17:00
Thursday 09:00 - 17:00
Friday 09:00 - 17:00

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