The Online Certificate in Applied Data Science using RapidMiner 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.
- Tuition
- $500
- Contact hours
- 44
- CEUs
- 4.4
- Format
- Online, Self-Paced
Upcoming offerings
Online, Self-Paced
Start any time and work through the material at your own pace. There are no scheduled class meetings.
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Enroll by
- Complete within
- 12 months
- Location
- Online
- Tuition
- $500
- Section
- 271UANA1025A
Register for the Online, Self-Paced section, enrollment closes September 30, 2026
See all online, self-paced dates and details in the course catalog
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About this course
The Online Certificate in RapidMiner includes four modules.
MODULE 1: Data Understanding
- Data Visualization
- Descriptive Statistics
- Correlation Analysis
- MODULE 2: Data Wrangling
- Importing/Exporting/Joining/Appending/Union
- Manipulation/Cleaning/Imputation/Dimension Reduction
- MODULE 3: Unsupervised Exploratory Methods
- Clustering Analysis
- Association Rules Analysis
- Hypothesis Testing
- MODULE 4: Supervised Predictive Methods
- Supervised Methods & Validation
- Linear Regression Analysis
- Logistic Regression Analysis
- Decision Trees and Random Forest
- Support Vector Machine
- Neural Nets/Gradient Boosting