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Course
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RapidMiner: Getting Started
RapidMiner is a widely-used data science and machine learning platform. This course will teach you the basics of using RapidMiner, including basic setup, data visualization and preparation methods, and will briefly introduce some data analysis.
What you'll learn
Data Science and Machine Learning are rapidly growing fields that use scientific methods and processes to extract useful knowledge and insights from data. In this course, RapidMiner: Getting Started, you will learn foundational knowledge of solving real-world data science problems. First, you will learn the basics of the software including setup, installation, interface, and data visualization options. Next, you will discover some commonly used data preparation methods. Finally, you will explore how to analyze data in order to come to useful conclusions and insights. When you’re finished with this course, you will have the skills and knowledge of RapidMiner needed to solve data science and machine learning problems.
About the author
Justin Flett is a Mechatronics Engineer currently working as a Professor within the Faculty of Applied Science and Technology at Sheridan College. Justin has previously held positions at Hydro One Networks, Ford Motor Company, and ABB Robotics spanning across both the electrical and mechanical engineering industries. Most recently, he has been working as an Product Development Professional specializing in training, services, and consultation nation-wide, ranging from design fundamentals to advanced product development solutions.
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