Introduction to Data Mining

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

All great learning opportunities are built on a solid foundation. This data mining fundamentals series is jam-packed with all the background information, technical terminology, and basic knowledge that you will need to hit the ground running.   This page provides a playlist of 24 video sessions on the basics of data mining.  Topics in the introductory session include:
– Data and Data Types
– Data Quality
– Data Preprocessing
– Similarity and Dissimilarity
– Data Exploration and Visualization

Authoring Organization(s) Name: 
Data Science Dojo
License - link to legal statement specifying the copyright status of the learning resource: 
Standard YouTube License
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Data cleaning
Data quality
Data transformation
Data visualization
Text and data mining
Published / Broadcast: 
Tuesday, August 27, 2019
Publisher - organization credited with publishing or broadcasting the learning resource: 
Data Science Dojo
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Data professional
Early-career research scientist
Graduate student
Mid-career research scientist
Research scientist
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)