Whether delivered online or onsite, our instructor-led live RapidMiner training courses provide interactive, hands-on sessions demonstrating how to leverage RapidMiner Studio for data preparation, machine learning, and the deployment of predictive models.
RapidMiner training is offered as either "online live training" or "onsite live training". Online live training (also known as "remote live training") is facilitated through an interactive, remote desktop environment. Onsite live training can take place directly at your customer premises in Copenhagen or within NobleProg's corporate training centers located in Copenhagen.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This live, instructor-led training in Copenhagen (available online or on-site) is tailored for intermediate-level data analysts aiming to master the use of RapidMiner for value estimation and projection, as well as for employing analytical tools in time series forecasting.
By the end of this program, participants will have the capability to:
Implement the CRISP-DM methodology, select the most appropriate machine learning algorithms, and refine model construction and performance.
Utilize RapidMiner for estimating and projecting values, effectively deploying analytical tools for time series forecasting.
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