Data Science for Managers (short course)

I am teach­ing part of a short-​​course on Data Sci­ence for Man­agers from 10–12 Octo­ber in Melbourne.

Course Overview

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/​d​a​t​a​-​s​c​ience.

Early-​​bird book­ings close in a few days.


Keeping up to date with my research papers

Many peo­ple ask me to let them know when I write a new research paper. I can’t do that as there are too many peo­ple involved, and it is not scalable.

The solu­tion is sim­ple. Take your pick from the fol­low­ing options. Each is auto­matic and will let you know when­ever I pro­duce a new paper.

  1. Sub­scribe to the rss feed on my web­site using feedly or some other rss reader.
  2. Sub­scribe to new papers via email from feedburner.
  3. Go to my Google scholar page and click “Fol­low” at the top of the page.

The lat­ter method will work for any­one with a Google scholar page. The Google scholar option only includes research papers. The first two meth­ods also include any new sem­i­nars I give or new soft­ware pack­ages I write.

North American seminars: June 2015

For the next few weeks I am trav­el­ling in North Amer­ica and will be giv­ing the fol­low­ing talks.

The Yahoo talk will be streamed live.

I’ll post slides on my main site after each talk.

Thinking big at Yahoo

I’m speak­ing in the “Yahoo Labs Big Thinkers” series on Fri­day 26 June. I hope I can live up to the title!

My talk is on “Explor­ing the bound­aries of pre­dictabil­ity: what can we fore­cast, and when should we give up?”  Essen­tially I will start with some of the ideas in this post, and then dis­cuss the fea­tures of hard-​​to-​​forecast time series.

So if you’re in the San Fran­cisco Bay area, please come along. Oth­er­wise, it will be streamed live on the Yahoo Labs web­site. Con­tinue reading →

Statistical modelling and analysis of big data

I’m cur­rently attend­ing the one day work­shop on this topic at QUT in Bris­bane. This morn­ing I spoke on “Visu­al­iz­ing and fore­cast­ing big time series data”. My slides are here.

The talks are being streamed.


Big data is now endemic in busi­ness, indus­try, gov­ern­ment, envi­ron­men­tal man­age­ment, med­ical sci­ence, social research and so on. One of the com­men­su­rate chal­lenges is how to effec­tively model and analyse these data.

This work­shop will bring together national and inter­na­tional experts in sta­tis­ti­cal mod­el­ling and analy­sis of big data, to share their expe­ri­ences, approaches and opin­ions about future direc­tions in this field.

Connect with local employers

I keep telling stu­dents that there are lots of jobs in data sci­ence (includ­ing sta­tis­tics), and they often tell me they can’t find them adver­tised. As usual, you do have to do some net­work­ing, and one of the best ways of doing it is via a Data Sci­ence Meetup. Many cities now have them includ­ing Mel­bourne, Syd­ney, Lon­don, etc. It is the per­fect oppor­tu­nity to meet with local employ­ers, many of which are hir­ing due to the huge expan­sion in the use of data analy­sis in busi­ness (aka busi­ness analytics).

At the end of each Mel­bourne meetup, some employ­ers have been adver­tis­ing their cur­rent ana­lytic job open­ings to the audience.

Now the local orga­niz­ers are going to extend the oppor­tu­nity to allow job-​​searchers to give a 90 sec­ond pitch to employ­ers. Details are pro­vided on the mes­sage board.

Visit of Di Cook

Next week, Pro­fes­sor Di Cook from Iowa State Uni­ver­sity is vis­it­ing my research group at Monash Uni­ver­sity. Di is a world leader in data visu­al­iza­tion, and is espe­cially well-​​known for her work on inter­ac­tive graph­ics and the XGobi and GGobi soft­ware. See her book with Deb Swayne for details.

For those want­ing to hear her speak, read on. Con­tinue reading →

European talks. June-July 2014

For the next month I am trav­el­ling in Europe and will be giv­ing the fol­low­ing talks.

17 June. Chal­lenges in fore­cast­ing peak elec­tric­ity demand. Energy Forum, Sierre, Valais/​Wallis, Switzerland.

20 June. Com­mon func­tional prin­ci­pal com­po­nent mod­els for mor­tal­ity fore­cast­ing. Inter­na­tional Work­shop on Func­tional and Oper­a­to­r­ial Sta­tis­tics. Stresa, Italy.

24–25 June. Func­tional time series with appli­ca­tions in demog­ra­phy. Hum­boldt Uni­ver­sity, Berlin.

1 July. Fast com­pu­ta­tion of rec­on­ciled fore­casts in hier­ar­chi­cal and grouped time series. Inter­na­tional Sym­po­sium on Fore­cast­ing, Rot­ter­dam, Netherlands.