University of Technology Sydney

AAI17015 - Advanced Data Analytics - An Introduction
AAI17015

<p>Data Analytics (DA) is the discipline of analysing raw data with the purpose of drawing conclusions about that information. Data Analytics is used in many industries to allow companies and organisations to make better business decisions and in the sciences to verify or disprove existing models or theories. This short course, as an entry to advanced data analytics series courses, which are planned by the Advanced Analytics Institute (AAI) this year. The short course will provide a landscape of data analytics, presenting the concepts, fundamental techniques, applications and some projects that have been conducted within AAI.<br></p> <p><b>This program is particularly useful for</b><br> All those involved in BIG DATA for their organisation:</p> <ul><li>Students <li>Researchers <li>Academics <li>Industry Practitioners</ul> <p><b>Program topics</b><br></p> <ul><li>Welcome and AAI Short Course Program briefing <li>Overview of Big Data and Advanced Data Analytics <li>Data Mining in Advanced Analytics <li>Machine Engineering <li>Machine Learning <li>Data Science Innovations: Systems of Insight <li>Marketing Campain Analytics <li>Text Analytics and Sentiment ANalysis <li>Feedback and Closing</ul> <p> <p><b>Course outcomes</b><br> Upon completion of this course students will: <br></p> <ul><li>Understand why advanced data analytics is essential to your business success <li>Understand the key terms and concepts used in advanced data analytics <li>Understand relations of big data, clouding computing and analytics <li>Be familiar with basic skills of statistics in data analytics, including descriptive analysis, regression, multivariate data analysis <li>Learning basic data mining and data warehousing, visualization and reporting, such as supervised vs unsupervised methods, clustering, association role and frequent mining and so on <li>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 <li>Analyse survey data and ensure analytical results are representative of the market and Analytics Data Architecture <li>Roadmap to Hadoop, Ecosystem & Spark </ul> <p> <b>Prerequisites: Pre-reading</b><p> <ul><li>Assessment within Short Course <li>Post Short Course follow up and engagement <li>Survey and feedback process <li>Online readings </ul> <p><b>Presenters</b></p> <ul><li><b>Colin Wise</b> – Education Manager, Advanced Analytics Institute at University of Technology Sydney <li><b>Dr. Qinxue (Max) Meng</b> - Postdoctoral Researcher at UTS: University of Technology Sydney <li><b>Dr Siamak Tafavogh</b> - is a UTS Adjunct Academic, School of Software, Faculty of Engineering and IT <li><b>Professor Massimo Piccardi</b> – Professor of Computer Systems with the Faculty of Engineering and Information Technology at University of Technology, Sydney (UTS) <li><b>Stephan Curikis - Consultant in Advanced Data Analytics</b> <li><b>Dr. Suresh Sood</b> – Adjunct Academic UTS and Global Consultant in Big Data and Advanced Analytics – Data Scientist with Chartered Accountant – Australia and New Zealand <li><b>Dr. Shlomo Berkovsky</b> – A senior Researcher at the Data 61 / CSIRO Computational Informatics division. <p><b>Fees</b><P> Standard 1 day $800 (GST free)</p> <ul><li> UTS Alumni and staff – 10% discount <li> 2 or more from the one organisation – 15% discount <li> Interstate participant – 25% discount </ul> <p>Please select discount option with drop down box before entering your credit card details. Only 1 discount applicable per person. <br> Group bookings must be made individually with the 15% discount selected and credit card processed separately for each person.<br><br></p> <p><b>Payment Options :</b><br> To be invoiced – Please complete the <a href="https://shortcourses-bookings.uts.edu.au/capabiliti/GetFile.aspx?FileGuid=7dfbff0e-e5f1-4b85-8a7f-a4b3ef034caa"> Manual Enrolment on Invoice Request Form </a> and email <a href="mailto:short.courses@uts.edu.au?subject=Advanced Data Analytics">short.courses@uts.edu.au</a> or Tel: +61 (02) 9514 2913.<br> Credit Card – proceed to the <b>'BOOK NOW'</b> button and follow the prompts<br></p> <p><b>Further Information</b><br> <a href=" https://shortcourses-bookings.uts.edu.au/capabiliti/GetFile.aspx?FileGuid=061a1fb6-0e20-488a-a652-fc0a766012ed">Venue Map</a></p> <p><b>Contact Information:</b><p> For specific queries regarding course content, please contact Colin Wise, Advanced Analytics Institute Tel: +61 (02) 9514 9267 or email <a href="mailto:colin.wise@uts.edu.au?Subject=Advanced Data Analytics">colin.wise@uts.edu.au</a> with questions relating to this course.</p> <p>For all other enquiries regarding enrolment or payment, please contact UTS Short Courses on Tel: +61 (02) 9514 2913 or email <a href="mailto:short.courses@uts.edu.au?subject=Payment/Enrolment">short.courses@uts.edu.au</a></p>

Schedules


Date
Friday 11 Aug 2017
Location
UTS Short Courses Venue (AAI) - Building 10, Level 7
235 Jones Street
Ultimo
NSW, 2007
Time
09:00 AM - 05:00 PM
Presenter
Various Presenters
Seats availability
5
Cut-off date
Thursday 10 Aug 2017
Fee
$800.00
$720.00 with UTS Alumni - 10% (10 % off)
$600.00 with Interstate 25% (25 % off)
$680.00 with 2+ registrations from same company - 15% (15 % off)
$640.00 with Scholarship 20% (20 % off)
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Sessions

    Time Duration Presenter Location
    11 Aug 2017
    09:00 AM - 05:00 PM
    8 hours Various Presenters
    UTS Short Courses Venue (AAI) - Building 10, Level 7
    235 Jones Street
    Ultimo
    NSW, 2007