Online Certificate in Applied Data Science using Rapid Miner

Applied data science students and code

The Online Certificate in Applied Data Science using Rapid Miner has been developed for people interested in learning more about how data science methods work but have limited formal training in mathematics, statistics and programming. In this course, you will also learn about the Cross Industry Standard Process for Data Mining (CRISP-DM) framework and how you can follow its suggested steps to successfully initiate and complete a data analytics project with the aim of creating business and organizational value. The focus is more on the application of the methods in solving problems rather than on the math and theory behind the methods. You will learn about different statistical methods, their application, and the basic assumptions, strengths, weaknesses, and logic behind them so you can make better choices when it comes to selecting data analysis methods to solve a given business or organizational problem.

If you are currently enrolled in one of these Masters or PhD programs, please contact Cara Reeve to enroll in the Online Certificate in Applied Data Science using Rapid Miner: 

  • Masters in Data Science and Analytics
  • Masters in Computer Science
  • PhD in Data Science and Analytics
  • PhD in Computer Science


The Online Certificate in Rapid Miner includes four modules

Module 1: Data Understanding

  1. Data Visualization
  2. Descriptive Statistics
  3. Correlation Analysis

Module 2: Data Wrangling

  1. Importing/Exporting/Joining/Appending/Union
  2. Manipulation/Cleaning/Imputation/Dimension Reduction

Module 3: Unsupervised Exploratory Methods


  1. Clustering Analysis
  2. Association Rules Analysis
  3. Hypothesis Testing

Module 4: Supervised Predictive Methods


  1. Supervised Methods & Validation
  2. Linear Regression Analysis
  3. Logistic Regression Analysis
  4. Decision Trees and Random Forest
  5. Support Vector Machine
  6. Neural Nets/Gradient Boosting