Industry 4.0

Introduction

This program, which incorporates RapidMiner Basics Part 1 and Part 2, focuses on data mining and predictive analytics with RapidMiner Studio. Over the course of four days, participants will explore a simplified business-use case and build a strong analytical model while becoming familiar with the graphical interface and the main product features and functionality.

The program is structured in a mentoring fashion where the entire group performs tasks alongside the instructor as members of a data science team. Practical exercises during the course will prepare students to take the knowledge gained and apply them to their own respective data mining problems, solving them quickly and easily. Since the class labs are hands-on and performed on the participants’ personal laptops, students will take actual classwork home with them, which will provide a jumpstart to data mining in the real world.

After successfully completing this course, participants will have a solid understanding of how RapidMiner Studio functions and will be able to perform all common data preparations, build sophisticated predictive models, evaluate model quality with respect to different criteria, deploy analytical predictive models, utilise more complex functionality of RapidMiner Studio, and apply more sophisticated analytical approaches.

Target Audience

Analysts, Advanced Analysts, and Data Scientists

Prerequisite

Participants must have basic knowledge of computer programs and mathematics