Welcome to the best place to start your RapidMiner and Data Science learning.
Study at your own pace, and at no cost. Learn more in this short explainer video.

Go to our completely FREE self-paced learning:

Ready to get certified or do you want to get some live training?

Our Education Partners offer various ways to learn with live instructors. To make it easy we have identified standard course pathways to help you get up to speed quickly.

Live – no matter where you are!

Meet the trainer face-to-face.

Become a certified RapidMiner user!

training-pathways-small-jan2018

Live Online Training

Classes consists of 4 hours live online training on one or two consecutive days (4 hrs. each day, for number of days see table below). The live portion is amended by an additional two times 4 hours of self-study and solving exercises. Depending on your time zone you will receive the live portion in the morning or the afternoon, respectively, so that you are left with the afternoons or the mornings of the next day for completion of the exercises.
4 hr live sessions start at: 10am EST/4pm CET/7:30pm IST
Course fee is $699 per course-day and student**.
Expert courses are usually scheduled on demand, and they may be split into two separate days of training or offered at different times of day to accommodate more flexible scheduling needs. You may request more information for expert courses here or click on the Partner Link below for more details.

VILT Classes Schedule

** If you are working in the academic field or if you are based in an emerging markets country (GDP (PPP) per capita < 25k USD as defined by IMF) you might qualify for a discount. Please reach out to the delivering partner or mark it in the registration form.

Classroom Training

Private Classes

All our education partners are offering private classes to be delivered in your facilities. To enable your staff to do machine learning with RapidMiner Studio we recommend RapidMiner & DataScience: Foundations (RM&DS-F) and RapidMiner & DataScience: Advanced (RM&DS-A) however Expert courses are also available. Please note that the skills and knowledge taught during the ‘RapidMiner & DataScience’ courses are a prerequisite for each of the Expert courses.
Text and Web Mining with RapidMiner – 2 day (T&W-M)
RapidMiner Server: Deployment and Web Apps – 2day (RMS&WA)
Big Data with RapidMiner Radoop – 1 day (Radoop)
Partner
Region
Certified Instructor
Language
RM&DS-F
RM&DS-A
T&W-M
RMS&WA
Radoop
Lindon Ventures
AMER
1
1
1
1
ENG
KSK Analytics
APAC
1
1
1
ENG / JPN
Quandatics
APAC
3
3
2
2
2
ENG
Solution Metrics
APAC
1
1
ENG
Data scientist – Berater für Analytik
EMEA
1
1
1
1
ENG / GER
David Hampton
EMEA
1
1
ENG
Lufthansa Industry Solutions
EMEA
3
3
ENG / GER
Old World Computing UG
EMEA
1
1
1
1
ENG / GER

Public Classes – scheduled by our partners

Location
Course
Dates*
Fees*
 
Partner
Kuala Lumpur
RapidMiner Server: Deployment and Web Apps
Jul 9-10
USD 800
Register
Quandatics
Kuala Lumpur
Big Data with RapidMiner Radoop
Jul 11
USD 400
Register
Quandatics
Kuala Lumpur
Text and Web Mining with RapidMiner
Jul 12-13
USD 400
Register
Quandatics
London
RapidMiner & DataScience: Foundations
Jul 23-24
GBP 1260
Register
David Hampton
London
RapidMiner & DataScience: Advanced
Jul 25-26
GBP 1260
Register
David Hampton
Bangkok
RapidMiner & DataScience: Foundations
Jul 31- Aug 1
USD 400
Register
Quandatics
Bangkok
RapidMiner & DataScience: Advanced
Aug 2-3
USD 400
Register
Quandatics
Bochum
Grundlagen 1 – Prädiktive Modelle und deren Validierung
Sep 3-4
EUR 1400
Register
Old World Computing
Bochum
Grundlagen 2 – Profilerstellung und komplexe Modelle
Sep 5-6
EUR 1400
Register
Old World Computing
Bochum
Deployment – Produktiver Einsatz von Predictive Analytics
Sep 10-11
EUR 1400
Register
Old World Computing
Bochum
Zeitreihenanalyse
Sep 12-13
EUR 1400
Register
Old World Computing
London
RapidMiner & DataScience: Foundations
Nov 12-13
GBP 1260
Register
David Hampton
London
RapidMiner & DataScience: Advanced
Nov 14-15
GBP 1260
Register
David Hampton
Bochum
Grundlagen 1 – Prädiktive Modelle und deren Validierung
Nov 20-21
EUR 1400
Register
Old World Computing
Bochum
Grundlagen 2 – Profilerstellung und komplexe Modelle
Nov 22-23
EUR 1400
Register
Old World Computing
Bochum
Predictive Analytics im Big Data Kontext
Nov 27-28
EUR 2000
Register
Old World Computing
Bochum
Text und Web Mining
Nov 29-30
EUR 2000
Register
Old World Computing
* If the course date is marked in bold then the event is already confirmed to run as there are sufficient registrations. If you are working in the academic field you might qualify for a discount. Please reach out to the delivering partner.
NOTE: before making travel arrangements please make sure to check the partners cancellation policies.

Certification

The RapidMiner Certification Program was created to recognize professional users of the RapidMiner Platform. RapidMiner has developed international standards based on experience, survey results, and user feedback for the different levels of certification.

Benefits

The RapidMiner Certification Program provides a means to validate software skills and earn industry recognition for the competency. A professional RapidMiner certification will set you apart from the competition by earning the only globally-recognized credential endorsed by RapidMiner.
Achieving a certified status demonstrates a high level of competency and proficiency with the technology and is an excellent investment in your ongoing professional development.  In addition to improving your professional marketability, certification will help you to improve the quality and consistency of solutions by applying the best practices gained during the certification process.
Registration & Fees
Exam fees is $250 for each exam. After registration RapidMiner will send you login credentials and instructions. These will be valid for 60 days.
Register  for the RapidMiner Analyst Certificate
Register for the RapidMiner Expert Certificate
Looking for certified members of our community?
Here you can find some Certified RapidMiner Analysts or Certified RapidMiner Experts which are active in our community.