RapidMiner: Getting Started
Learn the basics of RapidMiner: Getting Started ▼
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Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
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.
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.
Topics:
Course Overview
Learning the Basics of RapidMiner
Preparing the Data
Analyzing the Data and Further Learning
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire the skills and knowledge necessary to use RapidMiner, including basic setup, data visualization and preparation methods. They will also gain an understanding of how to analyze data in order to come to useful conclusions and insights. Additionally, learners will gain foundational knowledge of solving real-world data science problems, such as understanding the interface, data visualization options, and commonly used data preparation methods. Finally, learners will gain an understanding of the scientific methods and processes used to extract useful knowledge and insights from data.
How does this course contribute to professional growth?
This course provides learners with the foundational knowledge and skills necessary to use RapidMiner for data analysis. It covers the basics of setup, data visualization and preparation methods, as well as how to analyze data in order to come to useful conclusions and insights. Additionally, learners can gain an understanding of the scientific methods and processes used to extract useful knowledge and insights from data. By completing this course, learners can gain the skills necessary to apply RapidMiner to real-world data science problems, which can contribute to their professional growth.
Is this course suitable for preparing further education?
RapidMiner: Getting Started is a suitable course for preparing further education. It provides learners with the basics of using RapidMiner, including basic setup, data visualization and preparation methods. Additionally, learners can gain foundational knowledge of solving real-world data science problems, such as understanding the interface, data visualization options, and commonly used data preparation methods. Finally, learners can gain an understanding of the scientific methods and processes used to extract useful knowledge and insights from data. This course provides learners with the necessary skills and knowledge to pursue further education in data science.
Course Provider
Provider Pluralsight's Stats at AZClass
Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Machine Learning skills no matter in career or in further education. Even if you are only slightly interested, you can take RapidMiner: Getting Started course with confidence!
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