Strengths and Weaknesses of Knowledge Discovery and Data Mining Peer Review 2018

This short course will help you to understand some data mining techniques for knowledge discovery and knowledge presentation. At the stop of the short course yous should be able to utilize the skill for knowledge discovery and future prediction from a suitable dataset of your interest.

This short course is also a taster of the Graduate Certificate in Applied Data Science course at CSU.

Find out more than in this free brusque course!

Enter your details beneath to register:

Difficulty

■■ ■■ Intermediate

More than Info

Moderate-level brusque course where some prior knowledge or concepts may be assumed. Content may be aimed at tardily-undergraduate or early-Masters students

Duration 4 Weeks
Enrolled 3,062 students
Cost Complimentary!

Course Schedule

Module one:

Introduction to Data Mining

  • Information Life Bicycle
  • Data types, collection and pre-processing
  • Data Analysis: supervised and unsupervised learning

Module ii:

Decision Tree Classifiers

  • Decision Trees
  • Usefulness of conclusion copse
  • Limitations of decision trees
  • Ensemble of trees

Module 3:

Knowledge Discovery

  • Knowledge Discovery Techniques
  • Knowledge Interestingness Measures
  • Case Study

Module 4:

Decision Support System (DSS)

  • Overview of a DSS
  • Architecture and Types of DSS
  • Requirements of a DSS
  • Case Study

Cess:

Examination

  • Test pass marking: l%
  • Fourth dimension limit: 60 minutes
  • Attempts allowed: one
  • Format: 40 multiple choice questions

Course Information Q&A

What will I learn in this short grade?

This short course should help you to sympathise some data mining and knowledge discovery techniques. Afterward completing the course, you should be able to apply this skill on suitable datasets and the skill obtained should assistance you to contribute more in the information analysis and decision-making process at your workplace.

What is the aim of this curt course?

This aim of this brusk course is to give y'all a taste of what it is like to study the Graduate Certificate in Practical Data Science course at Charles Sturt University.

How much demand is there for Data Science related jobs?

Nosotros're creating more than than 2.5 exabytes of data every solar day and cognition discovery from this data is crucial for the arrangement to get competitive advantages. As a upshot, Linkedin rated data science related jobs every bit the virtually promising jobs in 2019 and the Harvard Business Review described Data Scientist every bit the Sexiest Job of the 21st Century.

Who will present the webinars?

This course will exist delivered by Acquaintance Professor Zahid Islam and Dr Michael Bewong. Zahid is the Director the Data Science Research Unit (DSRU) at Charles Sturt University. He has and then far published 100 peer reviewed papers attracting more than 1250 citations. Forth with other colleagues, he also completed many projects funded by various industry partners. One of his projects funded by the NSW Wellness received the Innovation Award in 2017 from the NSW Agency for Clinical Innovation. Another projection funded past the Section of Social Services was independently reviewed by Deloitte and received an "outstanding" feedback from the assessment team. He has also served in various roles including the Briefing Chair for the 16thursday Australasian Information Mining conference in 2018.

Zahid has wide range of qualifications including:

  • PhD in Figurer Science from the University of Newcastle Commonwealth of australia.
  • Graduate Diploma in Information Science from the Academy of New South Wales, Australia.
  • Bachelor in Engineering from the Rajshahi University of Engineering and Applied science, People's republic of bangladesh.

Michael Bewong is a Lecturer in Calculating at Charles Sturt Academy. He has worked on various industry funded data scientific discipline projects in the areas of social media analytics and cybersecurity. Particularly, he has adult novel machine learning models for predicting socially disruptive events every bit well as exploits of cybersecurity vulnerabilities from social media data. Michael has also developed several privacy preserving publication algorithms which preserve the privacy of individuals' data inside a dataset without diminishing its data mining utility. These have been published at top ranking conferences and journals.  He has also served as a reviewer for several meridian information mining conferences and journals including TKDE, KDD, WSDM, SDM. He is the sponsorship chair for the 17th Australasian Data Mining Conference held in Dec 2019.

Michael obtained a PhD in Reckoner and Informatics from the University of South Australia, and a BSc (Hons) in Electrical and Electronic Engineering science from the University of Mines and Engineering science, Ghana.

Is at that place a final test?

Yes — the brusque course exam will exist a timed, open book exam that y'all will sit at your computer.

Exercise I go a completion certificate if I complete the course?

Yep — provided you receive a pass marking (50% or over) for form cess, which comprises the examination and any available participation marks.

Will I need to purchase any study materials to consummate the course?

No — all essential materials volition be supplied.

Volition the webinars be recorded?

Yes — all webinars are recorded and you will be able to access them, and all other gratis class materials, by registering for the course.

Will the course qualify me for academy credit?

Completion of this brusque course volition not qualify for credit into the Charles Sturt Academy degrees featured on this website.

If y'all would like more than information on our credit program, please meet our information page here.

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Source: https://itmasters.edu.au/free-short-course-knowledge-discovery-and-data-mining/

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