Become a Job-Ready Data professional in 3 months and unlock a rewarding tech careers!
We eliminate power and internet bottlenecks so you focus 100% on hands-on practical learning.

Automated industrial diesel generator switchover ensures zero class cancellations or lost code during live coding sessions.
Dual broadband connections keep cloud environment setups, GitHub clones, and Docker pulls fast and lag-free.
Quiet, modern collaborative spaces designed specifically for prolonged deep work, mentorship, and peer pair-programming.

Hear directly from past participants who successfully completed this training track.
Watch alumnus review on hands-on labs and instructor guidance.
“TE Quant Resources is a tech education center, with a vision to educate Africa to innovate by offering in-demand Tech courses; such as Data Science, Data Analysis, Cybersecurity, Digital marketing, coding, and programming.”
“I started a program with E-Quest in their October Cohort 2023 to study Data Analytics, as someone who is transitioning from operational management to core data analytics, the experience has been beautiful as learning is made easy with their faculty and instructors. I strongly recommend their Programs for anyone serious about taking a career path in digital skill.”
“One of the future leaders in the world of tech for sure. Watch out for these guys because they are visionary!”
For onsite learners, classes hold at our secure, fully equipped facility.
Port Harcourt, Rivers State, Nigeria
Complex joins, window functions, CTEs, and schema normalization.
Enterprise data storytelling, DAX calculations, and Power BI report publishing.
Exploratory data analysis, automated data pipelines, and data cleaning.
Supervised/unsupervised algorithms, evaluation metrics, and Scikit-learn.
Everything you need to know about enrollment, schedules, and prerequisites.
No. The curriculum starts with spreadsheet modeling and relational SQL foundations before progressing into Python and Machine Learning.
You will graduate with 3 portfolio capstone projects covering data warehousing, a production Power BI report, and an end-to-end Python predictive pipeline.
Class sizes are strictly capped to ensure 1-on-1 feedback, mentorship, and personalized code reviews.