2020/21  CSC 5741 | Lecture Series #03 (1/2): Data Mining Using CRISP-DM Model | April 26, 2021
Channel: Lighton Phiri
Date: 27/04/2021

In this live lecture screencast, we discuss the CRISP-DM Model, one of the most widely used Data Mining Models.

## About ICT CSC 5741

CSC 5741 is a graduate-level course that addresses the concepts, skills, methodologies, and models of data warehousing and data mining. The students are introduced to appropriate techniques for designing data warehouses for various business domains and, concepts for potential uses of the data warehouse and mining opportunities. CSC 5741 also provides students with fundamental concepts and algorithms in the knowledge discovery process such as data pre-processing, data mining and post-process evaluation.

## Learning Outcomes

* Identify the key processes of data mining, data warehousing and knowledge discovery process
* Describe the basic principles and algorithms used in practical data mining and understand their strengths and weaknesses
* Apply data mining techniques to solve problems in other disciplines in a mathematical way
* Apply data mining methodologies with information systems and generate results which can be immediately used for decision making in well-defined business problems

## About the Live Lecture Recordings
These were live and unscripted sessions, so---for posterity---please do share comments/fixes in the comment box if you spot an error or something that might require clarification.

Video recording/screencasting was done using ffmpeg [3] and SmartRecorder [4] on a OnePlus 3T connected with a Boya BY-M1 microphone [5].

[1] https://moodle.unza.zm/course/edit.php?id=2413

[2] http://www.unza.zm
[3] https://www.ffmpeg.org
[4] https://play.google.com/store/apps/details?id=com.andrwq.recorder&hl=en
[5] http://www.boya-mic.com/lavaliermicrophones/BY-M1.html