Dear Colleague, AAi Short Course - 'Advanced Data Analytics - an Introduction' - Wednesday 7 May 2014 https://shortcourses-bookings.uts.edu.au/ClientView/Schedules/ScheduleDetail.aspx?ScheduleID=1571
The AAI short course 'Advanced Data Analytics' may well be of interest to you and your organisation and key personnel. This Data Analytics introductory short course will provide an early and rewarding understanding of the level of analytics which your organisation and your people should be seeking. Course outcomes Upon completion of this course students will: * Understand why advanced data analytics is essential to your business success * Understand the key terms and concepts used in advanced data analytics * Understand relations of big data, clouding computing and analytics * Be familiar with basic skills of statistics in data analytics, including descriptive analysis, regression, multivariate data analysis * Learning basic data mining and data warehousing, visualization and reporting, such as supervised vs unsupervised methods, clustering, association rule and frequent mining and so on * Knowing key techniques in machine learning, such as Parametric and non-parametric models, learning and inference, Maximum-likelihood estimation, and Bayesian approaches and so on * Be given the introduction of social media analytics, multimedia analytics, and the real projects or case studies conducted in AAI Future short courses on Data Analytics and Big Data may be viewed at http://www.uts.edu.au/research-and-teaching/our-research/advanced-analytics-institute/short-courses/upcoming-courses Recommended first introductory public short course to attend in the series of advanced data analytic short courses - please register here https://shortcourses-bookings.uts.edu.au/ClientView/Schedules/ScheduleDetail.aspx?ScheduleID=1571 Happy to discuss at your convenience. Regards. Colin Wise Operations Manager Faculty of Engineering & IT The Advanced Analytics Institute [cid:image001.png@01CF5EEA.736D87F0] 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 these communication on Data Analytics Learning please reply to our email (sender) with UNSUBSCRIBE in the Subject. We will delete you from our database. Thank you for your patience and consideration. 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.
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