[Closed] Self paced online course Oct 11 – Nov 7 2021

Our next round of online learning will be 31st October 2022!

Some feedback from this course:

Overall, this was a great course to take and I wish there would be more stats courses for biologists. Kim Anh is truly an amazing tutor. Approachable and knowledgeable. I am very happy that at the end of the course I can say that I am at a position when I feel confident to start applying the learn concepts. Definitely worth all my time and efforts! Thank you!

What were the best aspects of the program?

The practical tutorials and vignettes

I really enjoyed that the concept were well explained even for people not familiar with the methods. I liked the assignment part.

Self paced program, very focused content, easy to deep in it, very very useful the case studies provided, appropriate examples and detailed explanation; Curriculum design from easy to complicated

It has extremely useful online materials, Q&A session. I finally learnt a bit about mixomics and got some hands on practice

The content was great. I appreciate having access to content for a bit longer.

I enjoyed overall organization with: – online courses which enables us to learn at our own pace with theory and practice, – live Q&As beginning with a short summary – a slack channel for day to day questions
The utilization of Slack to exchange through the program was really appreciated. I also really liked the weekly webinar.

After more than 230 days in lockdown in Melbourne, we are finally announcing our new self paced course ‘mixOmics R Essentials for Biological Data Integration‘!

  • Teaching Period Dates (AEST), asynchronised:
    • Start – Monday, 11th October 2021
    • End – Sunday, 7th November 2021
    • (non marked) Assessment due Sunday, 14th November 2021
    • Peer-review of assessment due Sunday, 21st November 2021
  • Live Q&A:
    • Thursday 14th October 5:30pm AEST
    • Thursday 21st October 5:30pm AEST
    • Thursday 28th October 5:30pm AEST
    • Thursday 4th November 5:30pm AEST
  • Fees vary for
    • Research Higher Degree students enrolled in a University: $495 AUD (incl. GST)
    • Staff and members from Universities & Not-for-profit organisations: $825 (incl. GST)
    • Other industries: $1320.00 AUD (incl. GST)

Information about the course and registration: https://study.unimelb.edu.au/find/short-courses/mixomics-r-essentials-for-biological-data-integration/

The number of places is limited, so first come first serve (we aim to run this course twice a year).

What if I need an invoice? Contact Student Support at continuing-education[at]unimelb.edu.au

Prerequisites. A good working knowledge in R programming (e.g. handling data frame, perform simple calculations and display simple graphical outputs) will enable learners to fully benefit from the course. The course is divided into theory (50%) and hands-on practice, with the opportunity to analyse your own data. Participants are encouraged to use RStudio and Rmarkdown (template and R code provided).

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