Course format:OnlineIn person

Data Science In-Person Training

Would you rather learn Data Science in a classroom than in front of a screen? These are the in-person offers in Continuing education in Data Science — fixed dates, a real learning group and direct contact with the instructors.

Kurslotse AI Advisor
Your AI Advisor for Career & Continuing Education

Tell me about your work. Together we can explore your next career step and find suitable online courses.

Your question is sent to our AI service provider. Please don't enter personal data. Privacy policy

4 courses
IT-Schulungen.com Logo

Deep Learning with Python and Pytorch

Iconapprox. 2.195,00 €
Iconapprox. 5 days
IconCertificate of participation
IconNo funding

The course "Deep Learning mit Python und Pytorch" lasts five days. You start with Python and Numpy and build the...

IT-Schulungen.com Logo

Data Engineering: Scalable Data Pipelines and Big Data Technologies

Iconapprox. 1.995,00 €
Iconapprox. 4 days
IconCertificate of participation
IconFunding possible

The four-day training "Data Engineering: Skalierbare Datenpipelines und Big Data Technologien" shows you how to build...

IT-Schulungen.com Logo

Machine Learning with Python and Scikit-learn

Iconapprox. 2.374,05 €
Iconapprox. 5 days
IconCertificate of participation
IconNo funding

The training "Machine Learning with Python and Scikit-learn" leads you to the fundamentals of Machine Learning in 5...

IT-Schulungen.com Logo

Data Science with Python

Iconapprox. 1.595,00 €
Iconapprox. 3 days
IconCertificate of participation
IconNo funding

In the course "Data Science mit Python", you learn in three days how to use Python for data science projects. You are...

Filters

4 of 4 courses

1,5952,374.05

Data Science as a classroom course: what to expect

In-person training in Data Science takes place on fixed dates at the provider’s premises — as a one-day seminar, a multi-day intensive course or a part-time programme with block weeks. You learn in a group: questions are answered on the spot, exercises are discussed together, and the breaks give you the professional exchange that a self-paced course cannot replace.

Who benefits from a classroom course in Data Science

  • You learn more reliably when dates are in the calendar and a group keeps you going.
  • You want direct feedback on your own cases and tasks from day-to-day work.
  • Networking matters to you — contacts with other participants and the instructor.
  • Your employer covers the cost and expects a verifiable qualification.

In person or online — what suits Data Science better?

Classroom training scores on commitment, exchange and hands-on practice, but costs you travel, fixed dates and usually more money. If you want to stay flexible or learn from anywhere, Continuing education in Data Science online is the better fit — many providers run the same programme in both formats.

What to compare

Look beyond the price: course length, group size, the qualification you end up with (certificate of attendance, certificate or a recognised degree) and whether materials, exam fees and catering are included. Also check whether the course can be funded — for classroom programmes that is more often possible than for purely self-paced courses.

More categories for you: