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Short Course on R and Data Mining

  • Oct 7, 2016 · 9:30 AM

Short Course on R and Data Mining

Information Technology and Engineering, University of Canberra

Target Audience: IT&E Project students (ICTP students, Technology Project students, ISES students), IT&E HDR students and Staff, members of the Canberra Data Scientists Group

Fees: There is no fees for the short course but seats are limited to 60 – so register early through

Presenters: Dr Yanchang Zhao (Adjunct Professor, UC), Professor Dharmendra Sharma

Time: 9:30am – 12:30pm, Fri 7 Oct 2016

Room: 2B7 (Building 2, room B7, University of Canberra).

Map and Parking:

Course Outline:

The course will cover R programming, data exploration and visualisation, and data mining with R. It will cover four topics below in two sessions. Each 1.5-hour session will consist of presentations on two topics, followed by lab for students to do exercises.

- R Programming and Data Exploration and Visualisation with R

- Regression and Classification with R

- Association Rule Mining with R

- Text Mining with R -- an Analysis of Twitter Data


All course materials are available at link below:

Please install R, RStudio and R packages, and download datasets and slides (in PDF files) to your laptop prior to the short course. See details of prerequisites at above link.

Join or login to comment.

  • Prof Dharmendra S.

    Some slides from the recent RDM Workshop. Cheers DS

    October 13

  • Sherry L.

    It was a great and informative workshop. Hope to have more courses like this!

    October 12

  • Yanchang Z.

    Thanks to all for attending the short course. Sorry that I rushed through the slides very quickly to cover all 5 topics in 2.5 hours.

    We are planning for in-depth training courses for each individual topic and keep tuned if you are interested.

    I am going to make an R package for the training course, and hopefully will release it by the end of this year.

    Please feel free to let me know if you have any feedback, comments or suggestions, such as how to improve the course and which R-related topics you are interested in.

    Photos of the short course have been uploaded to


    1 · October 10

  • Shrechandhanaa

    Informative and elaborately explained.

    October 10

  • Edward K.

    Thanks for the course, Yanchang. The association rule and twitter slides were cool. Wish there were more time. Hope you have another course on these topics.

    October 7

  • Buddhi

    It had lot to cover in a small time. The material provided was really cool

    October 7

  • A former member
    A former member

    Sorry, I can't attend the course because we have urgent meeting @work.

    October 7

  • Max

    Sorry,i can't go there this morning coz my phone broke down and I need to repair it. Hope you guys enjoy it!

    October 7

  • Joel P.

    A link to a map of where the room is, if it helps.

    October 7

  • Yanchang Z.

    You may refer to the link below for R source code. Thanks to Nick Murray for making it.

    October 7

  • Yanchang Z.

    All course materials are now available at link below:

    Please install R, RStudio and R packages, and download datasets and slides (in PDF files) to your laptop prior to the short course. See details of prerequisites at above link.

    WiFi might not be available in the training room. Please fully recharge your laptops, because there won't be enough powerpoints available in the room.


    2 · October 6

  • Amy L.

    Likewise, thanks for accommodating more. Look forward to the course.

    September 23

  • Abi

    Awesome! Thanks for increasing the attendance numbers!

    2 · September 22

  • Yanchang Z.

    Room has been changed to 2B7@UC, to accommodate more people.

    3 · September 22

  • Ot R.

    Will the course be filmed and made available online?
    Happy to volunteer to film, if required.

    1 · September 21

  • Yanchang Z.

    Thanks to all who are interested in the short course. It has already been fully booked. We will see if we can accommodate more people. Keep tuned.

    2 · September 21

    • Mohammad N.

      Please please try to add more peoples. Im highly interested to learn R and Data Mining.

      September 21

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