Data Science
The foundations: how data is collected, cleaned and explored — the unglamorous groundwork every analysis depends on.


Certificate deep dive
Four courses that take you from raw data to business recommendations. The $39 way to stop guessing and start arguing from evidence.
The four courses
A deliberate sequence: foundations, storage, patterns, then business application.
The foundations: how data is collected, cleaned and explored — the unglamorous groundwork every analysis depends on.
Where data lives: how databases store and organize information, and how to get the answers you need out of them.
Finding patterns at scale: what machine learning does in practice — prediction, classification, and when to trust the output.
The payoff: applying everything above to real business questions — turning analysis into recommendations that change decisions.
The career logic Every department now runs on data, but most professionals can only consume dashboards, not question them. Four courses move you from dashboard-reader to the person who knows what the numbers actually prove — and says so in the meeting.
Questions
What prospective learners ask.
The practice of turning raw data into decisions: collecting it, storing it, analyzing it, and presenting findings that change what a business does. It sits between pure data science and management — technical enough to work with data, practical enough to matter in meetings.
Four courses: Data Science (the foundations), Database Systems (where data lives), Applied Machine Learning (finding patterns at scale), and Business Analytics BANA 2100 (applying it all to business decisions). USD 39 one-time, completable within twelve months, quiz-assessed.
No. The certificate is built for working professionals, not mathematicians. It teaches the concepts and the application — what the techniques do and when to use them — rather than derivations and proofs.
Business analytics is decision-oriented: the endpoint is a business recommendation. The data science certificate goes deeper into the technical machinery, including programming languages and compilers. Choose analytics if your goal is better decisions; choose data science if your goal is building the systems.
Yes. The courses overlap conceptually with the BSCS and MCS programs, so the certificate works as a low-cost trial of the field before committing to a full degree. Many learners use it to confirm that data work suits them.
If you already work as a data analyst or data scientist, this will likely repeat what you know. It is designed for managers, marketers, operators and career changers who need analytics as a working skill, not as a profession.
Four courses — data science, databases, applied machine learning, business analytics — for USD 39 one-time. Self-paced, quiz-assessed, verifiable on completion.