&lt;p&gt;RapidMiner is a popular choice for most data scientists, owing to its ease of use and versatile nature. The Data Science with RapidMiner training program offered by Multimatics is designed to help participants understand how RapidMiner can be used for various data-science applications. Participants will also learn how to create reproducible data processing pipelines, visualizations, and prediction models. The training material is prepared based on the latest version of RapidMiner, accompanied by discussions and exercises to work on the questions.&amp;nbsp;&lt;&#x2F;p&gt;

RapidMiner is a popular choice for most data scientists, owing to its ease of use and versatile nature.

<ul><li>What and Why Data Science</li><li>Main Role and Data Science Method</li><li>History and Data Science Implementation</li></ul>

INTRODUCTION DATA SCIENCE

<ul><li>Proses dan Tools Data Science</li><li>Implement Data Science Process</li><li>Evaluation Model Data Science</li><li>Data Science Process Based CRISP-DM</li></ul>

DATA SCIENCE PROCESS

<ul><li>RapidMiner Studio - GUI</li><li>Visualizing Data in RapidMiner</li><li>The RapidMiner Marketplace - Extensions</li></ul>

INTRODUCTION TO RAPIDMINER

<ul><li>Importing Data in RapidMiner Studio</li><li>Data Loading Via a Process</li><li>Data Pivoting</li></ul>

DATA ACCESS

<ul><li>Data Cleaning</li><li>Data Reduction</li><li>Data Transformation and Data Discretization</li></ul>

DATA PREPARATION

<ul><li>Data Integration</li><li>Classification Algorithm</li><li>Clustering Algorithm</li><li>Association Algorithm</li><li>Estimation and Forecasting Algorithm</li></ul>

DATA SCIENCE ALGORITHM

<ul><li>Text Science Concepts</li><li>Text Clustering</li><li>Text Classification</li></ul>

TEXT SCIENCE

<ul><li>Build Real Case in Your Organization or Real Life</li></ul>

Data Science with RapidMiner

Target Audience

Duration

Method of Delivery

Examination

Program Objectives

Program Modules

Data Science with RapidMiner

Target Audience

Duration

Method of Delivery

Examination

Program Objectives

Program Modules

02DATA SCIENCE PROCESS

03INTRODUCTION TO RAPIDMINER

04DATA ACCESS

05DATA PREPARATION

06DATA SCIENCE ALGORITHM

07TEXT SCIENCE

08MINI CAPSTONE PROJECT USING CRISP–DM