Dear Colleague,

AAI Public Short Course - 'Data Mining - Stage 2 (Intermediate)' – Friday 9 
December 2016
https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/1885/AAI16011-Data-Mining-Stage-2-Intermediate?courseGroupId=88

Data Mining – Stage 2 is an intermediate level learning for Stage 1 completed 
attendees and or attendees already with basic Data Mining skills wishing to 
refresh and further develop their skills. Part of a two (2) stage Program this 
short course brings together further in-depth state-of-the-art research and 
practical techniques in data mining, providing students with the necessary 
knowledge to appreciate data mining projects and to professionally communicate 
with analytics experts.

This program is particularly useful for
All those involved in Data Mining for their organisation:

  *   Industry Practitioners wanting to get into data mining
  *   Managers wanting to know what data mining is about
  *   Students, Researchers, Academic

Program topics
1) Introduction to machine learning, fundamentals of data pre-processing + 
Exercises (KNIME).
2) Linear Regression and Introduction to Bayesian Approach: Naive Bayes + 
Exercises (KNIME).
3) Decision Tree classifier and introduction to ensemble classifier: Random 
Forest + Exercises (KNIME).
4) Competition (KNIME).

Course outcomes
Upon completion of this course students will:

  *   Apply an industry standard analytics life cycle methodology for data 
mining and pattern discovery
  *   Understand key terms and concepts in data mining
  *   interpret, synthesis and communication insight extracted from analytics 
in a context-appropriate manner

Please register here for 'Data Mining - Stage 2 (Intermediate)' – Friday 9 
December 2016
https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/1885/AAI16011-Data-Mining-Stage-2-Intermediate?courseGroupId=88

An important intermediate short course in the AAI series of advanced data 
analytic short courses – please view this short course and others here 
http://www.uts.edu.au/research-and-teaching/our-research/advanced-analytics-institute/education-and-research-opportuniti-3

AAI Education and Training Short Courses Survey - you may be interested in 
completing our AAI Survey at  
http://www.uts.edu.au/research-and-teaching/our-research/advanced-analytics-institute/education-and-research-opportuniti-6

We are happy to discuss at your convenience.

Thank you and regards.


Colin Wise
Education Manager

Faculty of Engineering & IT
The Advanced Analytics Institute

[Description: Description: Description: Description: 
cid:6438A32F-46D0-4C0F-843B-F09D838966AA]

University of Technology, Sydney
Blackfriars Campus Building 2, Level 1
Tel. +61 2 9514 9267
M. 0448 916 589
Email: colin.w...@uts.edu.au<mailto:colin.w...@uts.edu.au>
AAI:  www.analytics.uts.edu.au/<http://www.analytics.uts.edu.au/>



AAI Email Policy – should you wish to not receive this periodic communication 
on Data Analytics Learning please reply to our email (to sender) with 
UNSUBSCRIBE in the Subject. We will delete you from our database. Thank you for 
your past and future support.




Short Courses Calendar
Please note that these are professional development opportunities. 
http://www.uts.edu.au/research-and-teaching/our-research/advanced-analytics-institute/education-and-research-opportuniti-3
2016
START DATE

PROGRAM

DETAILS & BOOKINGS

Friday
9 December

Data Mining - Stage 2 (Intermediate)

Register<https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/1885/AAI16011-Data-Mining-Stage-2-Intermediate?courseGroupId=88>



Short Courses Calendar
Please note that these are professional development opportunities.
2017
START DATE

PROGRAM

DETAILS & BOOKINGS

Friday
10 February

Advanced Data Analytics – an Introduction

Register<https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/2011/AAI17001-Advanced-Data-Analytics-an-introduction?SiteId=0>

Friday
24 February

 R Programming – Stage 1 (Introduction)

Register<https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/2046/AAI17003-R-Programming-Stage-1?SiteId=0>

Friday
10 March

MATLAB - Stage 1 (Introduction)

Register<https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/2045/AAI17002-MATLAB-Stage-1-Introduction?SiteId=0>

Friday
24 March

R Programming Stage 2 (Intermediate)

Register<https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/2075/AAI17004-R-Programming-Stage-2-Intermediate?SiteId=0>

Tuesday
4 April

Data Mining – Stage 1 (Introduction)

Register<https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/1975/AAI16015-Data-Mining-Stage-1-Introduction?courseGroupId=88>

Friday
28 April

 R Programming Stage 3 (Advanced)

Register

Friday
12 May

Text Analytics and Sentiment Analysis – an Introduction

Register

Friday
26 May

Probability and Statistics – Stage 1 (Introduction)

Register

Friday
9 June

Data Visualisation

Register<https://shortcourses-bookings.uts.edu.au/ClientView/Course/FaceToFaceDetails/1981/AAI16017-Data-Visualisation?courseGroupId=88>

Friday
23 June

Cloud Computing – an Introduction

Register

Friday
14 July

 Machine Learning

Register

Friday
28 July

Recommendation System – an Introduction

Register





UTS CRICOS Provider Code: 00099F
DISCLAIMER: This email message and any accompanying attachments may contain 
confidential information.
If you are not the intended recipient, do not read, use, disseminate, 
distribute or copy this message or
attachments. If you have received this message in error, please notify the 
sender immediately and delete
this message. Any views expressed in this message are those of the individual 
sender, except where the
sender expressly, and with authority, states them to be the views of the 
University of Technology Sydney.
Before opening any attachments, please check them for viruses and defects.

Think. Green. Do.

Please consider the environment before printing this email.
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

Reply via email to