I spoke to our new crop of honours students this morning. Here are my slides, example files and links. Continue reading →
The University of Melbourne is advertising for a “Professor in Statistics (Data Science)”. Melbourne (the city) is fast becoming a vibrant centre for data science and applied statistics, with more than 4700 people signed up for the Data Science Meetup Group, a thriving start-up scene, the group at Monash Business School (including Di Cook and me), and the Monash Centre for Data Science (including Geoff Webb and Wray Buntine). Not to mention that Melbourne is a wonderful place to live, having won the “World’s most liveable city” award from the Economist for the last 6 years in a row.
Actually, the Uni of Melbourne currently has two professorships on offer — the other being the Peter Hall Chair in Mathematical Statistics. (Not sure that anyone would actually feel qualified to have a job with that title!)
So any professors of statistics out there looking for a new challenge, please consider coming to Melbourne. We’ll even invite you to visit us from time to time at Monash.
This is only directly relevant to my Monash students and colleagues, but the same idea might be useful for adapting to other institutions.
Some recent changes in the rmarkdown and bookdown packages mean that it is now possible to produce working papers in exactly the same format as we previously used with LaTeX. Continue reading →
We are hiring again, and looking for people in statistics, econometrics and related fields (such as actuarial science, machine learning, and business analytics). We have a strong business analytics group (with particular expertise in data visualization, machine learning, statistical computing, R, and forecasting), and it would be great to see it grow. The official advert follows.
Our research group been growing lately, as you can see below! We were featured in the latest issue of the Monash newsletter The Insider. Check it out.
We have established a new annual prize for research students at Monash University in the general area of business analytics, funded by the Australian Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS). The rules of the award are listed below.
- The student must have submitted a paper to a high quality journal or refereed conference on some topic in the general area of business analytics, computational statistics or data visualization.
- Up to $3000 will be awarded to the student to assist with research expenses subject to the approval of the relevant supervisor.
- Applications should include the submitted paper, along with a brief statement (no more than 200 words) on how they intend to spend the money. Applications should be emailed to email@example.com by 31 March 2016.
- The winning student will be selected by a panel consisting of Di Cook, Rob Hyndman, Catherine Forbes and Geoff Webb.
- Any HDR student currently enrolled at Monash University is eligible to apply.
Questions about the award can be asked in the comments section below.
Di Cook and I are organizing a workshop on “Making data analysis easier” for 18-19 February 2016.
We are calling it WOMBAT2016, which an acronym for Workshop Organized by the Monash Business Analytics Team. Appropriately, it will be held at the Melbourne Zoo. Our plan is to make these workshops an annual event.
Some details are available on the workshop website. Key features are:
- Hadley Wickham is our keynote speaker. He has been instrumental in changing the way we think about data analysis, and providing new tools for tidying, rearranging, summarising and plotting data. His R packages (including tidyr, dplyr, ggplot2, and ggvis) are very widely used.
- Other speakers include Phil Brierley, Eugene Dubossarsky, Heike Hofmann, Thomas Lumley, Andrew Robinson, Elle Saber, Carson Sievert, Zoe van Havre, Geoff Webb, Yanchang Zhao, as well as Di and me.
- The numbers are limited to a total of 100 with a quota on students, academics and people from business/industry. The aim is to have a good mix of people from different backgrounds to encourage productive discussions and mutual learning.
- Register on Eventbrite.
- We also have some places available for contributing speakers (15 minute talks). If you would like to do a contributed talk, you will need to email us a title and abstract by 15 January. We will notify you if your peer-reviewed abstract is successful by 29 January.
If you miss out on the workshop, you can still hear Hadley speak. Data Science Melbourne will host a meetup featuring him in the evening of Monday 22 February 2016.
I am teaching part of a short-course on Data Science for Managers from 10-12 October in Melbourne.
The impact of Data Science on modern business is second only to the introduction of computers. And yet, for many businesses the barrier of entry remains too high due to lack of knowhow, organisational inertia, difficulties in hiring the right manpower, an apparent need for upfront commitment, and more.
This course is designed to address these barriers, giving the necessary knowledge and skills to flesh out and manage Data Science functions within your organisation, taking the anxiety-factor out of the Big Data revolution and demonstrating how data-driven decision-making can be integrated into one’s organisation to harness existing advantages and to create new opportunities.
Assuming minimal prior knowledge, this course provides complete coverage of the key aspects, including data wrangling, modelling and analysis, predictive-, descriptive- and prescriptive-analytics, data management and curation, standards for data storage and analysis, the use of structured, semi-structured and unstructured data as well as of open public data, and the data-analytic value chain, all covered at a fundamental level.
More details available at it.monash.edu/data-science.
Early-bird bookings close in a few days.