Data Science
The field itself: how data is collected, cleaned and explored — the foundations every data practitioner stands on.


Certificate deep dive
Four courses from data foundations to how programming languages work. The $39 on-ramp into data science — and into the degrees beyond it.
The four courses
A deliberate sequence: the field, the data, the learning, then the tools themselves.
The field itself: how data is collected, cleaned and explored — the foundations every data practitioner stands on.
Where data lives: how databases store, organize and serve information at scale — the infrastructure behind every analysis.
Finding patterns at scale: what machine learning does in practice — and the judgment required to use it well.
How the tools themselves work: what programming languages are and how they run — the layer beneath the code most practitioners never see.
The career logic Data science rewards the genuinely curious — and punishes the tourist. Four courses will not make you a data scientist, but they will tell you honestly whether you want to become one, at the cost of $39 instead of a degree-sized mistake.
Questions
What prospective learners ask.
Four courses: Data Science (the foundations), Database Systems (where data lives), Applied Machine Learning (finding patterns at scale), and Programming Languages and Compilers (how the tools themselves work). USD 39 one-time, completable within twelve months, quiz-assessed.
Data science goes deeper into the technical machinery — including how programming languages work — while business analytics stays decision-oriented. Choose data science if you want to understand and build the systems; choose business analytics if your goal is applying analysis to business decisions.
No. The certificate builds from foundations and explains the technical concepts for newcomers. It is more technical than the business analytics track, but it assumes curiosity rather than prior skill.
Yes — this is the most natural on-ramp of the professional certificates into the BSCS and MCS programs. The courses overlap conceptually with degree-level computing, so it works as a $39 trial of whether the field suits you before committing further.
No single certificate does that — data science as a profession requires depth, practice and usually a degree. What this gives you is a genuine foundation: the concepts, the vocabulary and the mental models, plus a clear view of the road ahead.
Working data scientists and software engineers will find this foundational. It is designed for the technically curious — analysts, IT staff, career changers and students — building their first structured understanding of the field.
Four courses — data science, databases, applied machine learning, programming languages — for USD 39 one-time. Self-paced, quiz-assessed, verifiable on completion.