Data Analysis Corporate Training.

Data skills are still the starting point. We run internal certification courses, foundation and advanced tracks, and per-person PoC mentoring — the destination is application, not completion.

Last updated

What we cover

  • Designing and running internal data science certification
  • Data analysis and ML/DL modelling alongside MS Copilot
  • AI-assisted Python and SQL with Pandas, Matplotlib, NumPy
  • Per-person PoC mentoring into production use

Frequently asked questions

How long does the training take?
Because foundation and advanced tracks and internal certification need accumulated practice, multi-session delivery is the default. Programs that include pre-course material and per-person PoC mentoring, such as the Samsung Electronics internal data science certification, run longer.
What level is it pitched at?
Tracks range from new hires touching Python and SQL for the first time to practitioners aiming to build ML/DL models, as in the NCSOFT foundation and advanced tracks and the Mirae Asset new-hire Python and SQL course.
What do participants need to prepare?
A laptop that can run a Python environment and a sample of your organisation's data for the exercises. Where data cannot leave the company we use anonymised data or public datasets, and per-person PoC topics are set early in the program.
How is the training priced?
Quotes are based on headcount, the number of sessions and total hours, how much of the curriculum is built specifically for your organisation, and whether post-training PoC mentoring is included. Share your audience, headcount and goals through the inquiry form and we reply with a proposal and pricing.
Can the training run online?
On-site delivery is the default, because the exercises work best when instructors can look at each participant's screen and unblock them directly. For multi-site teams or scheduling constraints we also run online or blended sessions by arrangement.