Overview of Course

Our Rapidminer Training course is designed to teach you how to use Rapidminer software for data mining and analytics. This comprehensive course covers all the fundamental concepts of Rapidminer and provides hands-on experience in working with the software. With our course, you'll gain expertise in various aspects of data mining, machine learning, and predictive analytics.

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Course Highlights

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Learn from industry experts with years of experience in data mining and analytics

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Hands-on experience with Rapidminer software

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Access to online learning materials and resources<br /><br />

Key Differentiators

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    Personalized Learning with Custom Curriculum

    Training curriculum to meet the unique needs of each individual

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    Trusted by over 100+ Fortune 500 Companies

    We help organizations deliver right outcomes by training talent

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    Flexible Schedule & Delivery

    Choose between virtual/offline with Weekend options

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    World Class Learning Infrastructure

    Our learning platform provides leading virtual training labs & instances

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    Enterprise Grade Data Protection

    Security & privacy are an integral part of our training ethos

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Inquiry for :

Skills You’ll Learn


Understanding of data mining and analytics


Ability to use Rapidminer software for data mining and analytics


Knowledge of machine learning algorithms


Ability to create predictive models


Expertise in data analysis and visualization

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


  • Basics of Rapidminer
  • Rapidminer Installation 
  • What is Rapidminer Studio?

  • Connect to PostgreSQL and fetch table data into Rapidminer Example set 
  • PostgreSQL with Rapidminer

  • User Interface
  • Operators and Processes
  • Creating and Managing RapidMiner Repositories
  • Loading Data
  • Storing Data, Processes, and Result Sets
  • Visualizing Data & Basic Charting

  • k-Nearest Neighbor
  • Naïve Bayes
  • Decision Trees & Rules
  • Support Vector Machines
  • Logistic and Linear Regression
  • Neural Networks

  • Multiple Sources
  • Joins & Set Theory
  • Understanding New Attributes
  • Advanced Data ETL
  • Aggregation & Multi-Level Aggregation
  • Handling Attribute Roles
  • Pivot & De-Pivot
  • Calculated Values
  • Regular Expressions
  • Changing Value Types
  • Feature Generation and Feature Engineering

  • Integration with Operations
  • Data and Text Mining
  • Clustering
  • Predictive Analytics
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  • RedtickMake informed decisions about whether to enroll in the course or not.
  • RedtickGet a perspective with a glimpse of what the learning process entails.
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Inquiry for :


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Target Audience:

  • Business analysts
  • Data analysts
  • Data scientists
  • Software developers
  • Anyone interested in learning data mining and analytics using Rapidminer software
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  • Basic knowledge of statistics and mathematics
  • Familiarity with programming languages such as Python or R
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Benefits of the course:

  • Gain expertise in data mining and analytics using Rapidminer software
  • Learn from industry experts with years of experience in the field
  • Enhance your career prospects by adding valuable skills to your resume
  • Hands-on experience with practical projects
  • Flexible learning options to suit your needs
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Exam details to pass the course:

  • The course does not have an exam.
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Certification path:

  • Rapidminer Analyst Certification
  • Rapidminer Expert Certification
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Career options after doing the course:

  • Data analyst
  • Business analyst
  • Data scientist
  • Machine learning engineer
  • Predictive analytics professional

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Learn from industry experts with years of experience in data mining and analytics
  • Bullet Icon Hands-on experience with Rapidminer software
  • Bullet Icon Access to online learning materials and resources
  • Bullet Icon Practical projects to help you apply your knowledge
  • Bullet Icon Flexible learning options with self-paced and instructor-led training
  • Bullet Icon Lifetime access to course materials


Basic knowledge of statistics and mathematics is required, along with familiarity with programming languages such as Python or R.

The course can be completed in 50 hours.

Yes, upon completion of the course, you will receive a certificate of completion from Skillzcafe. Additionally, you can obtain Rapidminer Analyst and Expert certifications.

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