Online Certificate in Applied Data Science using RapidMiner

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.

If you are a current KSU student in one of these four courses (Master in Applied Statistics, Master in Computer Science, PhD in Analytics and Data Science, PhD in Computer Science), please contact Cara Reeve (cmisurac@kennesaw.edu) to enroll.

Hardware Requirements: You must have a computer (laptop or desktop) and some kind of high-speed internet connection – we recommend a 128mbps connection at a minimum.

The Online Certificate in RapidMiner includes four modules.

MODULE 1: Data Understanding

MODULE 2: Data Wrangling

MODULE 3: Unsupervised Exploratory Methods

MODULE 4: Supervised Predictive Methods