[CAPSTONE] Introduction to Data Mining
About the Course
The Introduction to Data Mining pathway teaches you how to use the data mining methodology to analyze both structured, semi-structured and un-structured data. The pathway consists of the following courses; Classification, Clustering and Association, and Text Mining. You will learn how to develop data mining workflows using the KNIME open source software platform. You are not required to code any programs while KNIME allows you to use open source programming languages and powerful commercial software environments; R, Weka, Matlab, Python, Java, ... and to access data from powerful platforms such as Twitter and Google.Computer and Data Sciences
Training hours0
LevelBeginner
Tutored
English
Duration1 weeks
TypeOnline
Soft Tutoring
Capstone
Course
Access reserver for the pathway students
Course Agenda
Course Opens
Course Closes
Background and Requirements
Basic knowledge of probability, statistics, and mathematics.Certificates and Exam rules
Attendance Certificate
You should attend the three courses of the Pathway in the following order: Classification, Clustering and Association, and Text Mining. However, if you know how to use the KNIME open source platform, have basic knowledge of the R programming language, then, no special order applies. Each course of the Pathway issues an Attendance Certificate and a Badge whether the following conditions are fulfilled: all practice sessions associated with each lecture are accomplished; the KNIME workflow associated with each practice session is uploaded to the course platform.
