Please remember, this certification is different from the other RapidMiner certifications. It is project-based. You pick your own topic and create your own solution to share with other people.
1. This takes time. Good solutions are not created in just one day, and there is no time-limit with this certification. Plan to work on this across several weeks or months.
2. Remember that this is much harder than the quiz-based certifications.
• Make sure you have passed all professional level certifications plus Data Engineering Master and Machine Learning Master.
• Make sure you already have hands-on practice in RapidMiner.
• Take time to look at one or more examples in the Solutions GoldMine.
• Think about an interesting use-case you can solve.
3. Don’t wait too long. Even if you do not earn a certification on the first attempt, you can try again, and it will be a good learning experience.
4. Make sure to give credit where credit is due.
5. Remember that other data scientists need to be able to closely inspect your solution.
• Processes need to be readable and documented.
• Data needs to be available.
• Dependencies like Python libraries need to be stated clearly.
• It doesn't have to be easy, but others should be able to test your processes.
6. We expect questions.
• If you have technical questions about how to accomplish a given task in RapidMiner, and it isn't covered in the RapidMiner Academy, then please use the RapidMiner Community
• If you have questions about the certification process or how to proceed, please ask us at training@rapidminer.com or send an instructor message.