University of Technology Sydney

AAI17013 - R Programming - Stage 2 (Intermediate)
AAI17013

<p>R Programming - Stage 2 is the intermediate R Programming one (1) day short course for those who have completed R Programming – Stage 1 or for those who consider themselves to have a working knowledge of R.<br><br> In stage 2 of R Programming we will move forward to cover more of the visualisation and statistical methods in R. We will deal with larger datasets and will need to process them quite significantly when we import them. We will learn to use more advanced multivariate techniques for visualisation, and we’ll investigate interactive visualisations. We’ll also look at some more statistical techniques and will introduce concepts to do with analysing time-series data. Finally, we’ll look at some newer ways of iteratively developing analysis methods using the ‘chaining’ of data manipulation methods.</p> <p><b> Who will benefit?</b><p> This program is particularly useful for (audience) <ul><li> Students undertaking a research program that requires data analysis skills <li>Researchers & Academics who wish to explore modern statistical languages <li>Industry Practitioners who wish to process data using R.</ul> <p><b> Program topics:</b></p> <ul> <li> Iteratively developing analysis procedures in R <li>Reading data from online sources <li>Parsing data from untidy data files <li>Multivariate plotting for exploratory data analysis <li>Building interactive graphics for presenting data through web applications <li>Building interactive dashboard systems <li>Reformatting and reshaping data <li>Reproducible research <li>The ‘split-apply-combine’ strategy and other chaining strategies for data analysis <li>The ‘List’ data structure and its use in R. <li>Fitting statistical models <li>Introductory time-series statistical techniques.</ul> <p><b> Course outcomes:</b><br> Upon completion of this course, students will be able to:</p> <ul><li> Navigate and clean large data files. <li>Interactively explore and visualise datasets to answer questions. <li>Develop analysis procedures that scale to large datasets.</ul> <p><b> About the presenter:</b><p> Sam Ferguson is a Lecturer in the School of Software, Faculty of Engineering and IT at the University of Technology, Sydney. He has used R in a many of his approximately 35 publications in areas as diverse as spatial hearing and loudness research, to sonification, emotion, and tabletop computing. He has 10 years’ experience teaching programming and technical topics, and has taught numerous subjects at the postgraduate and undergraduate level at the University of Technology, Sydney, the University of Sydney and at UWS. He has been a research fellow or assistant on more than 6 ARC research projects (many of which used R as their primary data analysis language).<br><br></p> <p><b>Additional information</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> <p><b>Fees:</b></p> <ul><li>Full fee - $900.00 (GST free) <li> UTS Alumni and staff <li> 2 or more from the one organisation <li> Interstate participant <li>Enrol in any 2 stages - in addition to discount already eligible (upfront payment) <li>Enrol in all 3 stages - in addition to discount already eligible (upfront payment)</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></p> <p><b>Payment Options</b><br> <b>To be invoiced</b> – 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 it to <a href="mailto:short.courses@uts.edu.au?subject=Invoice Request - AAI17009 Data Mining Stage 2"> UTS:Short Courses</a><br><br> <b>Credit Card</b> – proceed to the <b>'BOOK NOW'</b> button and follow the prompts.<br><br> <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><br><br></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=R Programming Stage 2 ">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 13 Oct 2017
Location
UTS Short Courses Venue (AAI) - Computer Lab CB10.07.104 - Building 10, Level 7, Room 104
235 Jones Street
Ultimo
NSW, 2007
Time
09:00 AM - 05:00 PM
Presenter
Dr. Sam Ferguson
Seats availability
1
Cut-off date
Thursday 12 Oct 2017
Fee
$900.00
$810.00 with UTS Alumni - 10% (10 % off)
$765.00 with 2+ registrations from same company - 15% (15 % off)
$675.00 with Interstate participants- 25% discount (25 % off)
$855.00 with Enrol in any 2 stages (5 % off)
$810.00 with Enrol in all 3 stages (10 % off)
$720.00 with Scholarship 20% (20 % off)
Show all sessions

Sessions

    Time Duration Presenter Location
    13 Oct 2017
    09:00 AM - 05:00 PM
    8 hours Dr. Sam Ferguson
    UTS Short Courses Venue (AAI) - Computer Lab CB10.07.104 - Building 10, Level 7, Room 104
    235 Jones Street
    Ultimo
    NSW, 2007