Learn data science the way it’s actually used, not just theory.

Most courses teach you to pass a quiz. This one teaches you to do the job. It is built by people who do the job.

What the program covers

Python for data work

Not "learn to code" in the abstract, but the specific skills used daily: cleaning data, writing analysis scripts, automating repetitive tasks.

SQL

Querying, joining, and making sense of real databases, the skill most data roles assume you already have and few programs actually teach well.

Machine learning fundamentals

Building and evaluating models on real datasets, understanding what a model is actually doing rather than just calling a library function.

Data visualization

Turning analysis into something a non-technical stakeholder can actually understand and act on.

Career development

The program doesn't stop at technical skill; it includes the practical side of turning that skill into a role.

Who it’s for

Fresh graduates who need a practical, job-ready skill set that their degree didn't fully cover.
Working professionals looking to move into a data or AI role, or add these skills to a current one.
Corporate teams wanting a cohort of employees trained together, with content adaptable to the organization's actual data and tools.

How it runs

Three months, live online. Not a pre-recorded course you fall behind on. Built and taught by people who actively build data and AI systems for clients, so what’s taught reflects what the work actually looks like day to day.

Tools you’ll work with

PythonSQLJupyterPandasscikit-learnTensorFlowMatplotlibGitVS CodeDocker