class: center, middle, inverse, title-slide # ETC1010: Data Modelling and Computing ## Final Lecture ### Dr. Nicholas Tierney ### Monash ### 2019-10-25 --- class: bg-main1 ## You did it! .huge[ It has been an absolute pleasure to teach you all this semester You have such a great group of students to work with! We hope that what we've covered can be useful for you and that you *continue to practice these skills*. And maybe use these skills in other classes where you are doing data analysis. ] --- class: bg-main1 # Special thanks to the super tutor dream team .huge[ Mitch Steff Sayani Sherry ] --- class: bg-main1 center middle # What Now? --- ## Join the R community <img src="https://raw.githubusercontent.com/allisonhorst/stats-illustrations/master/rstats-artwork/welcome_to_rstats_twitter.png" width="50%" /> *image from Alison Horst* --- class: bg-main1 ## What Now? .huge[ - Consider writing up your project as a blog post using [blogdown](https://bookdown.org/yihui/blogdown/) - See [Alison Hill's blogpost on creating your own blog](https://alison.rbind.io/post/2017-06-12-up-and-running-with-blogdown/) - Consider sharing your project talk with the [Melbourne R user network (MelbURN)](https://www.meetup.com/MelbURN-Melbourne-Users-of-R-Network/) or [R-Ladies Melbourne](https://www.meetup.com/rladies-melbourne/) ] --- class: bg-main1 ## Major .vlarge[ - Where do you go from here, if you are a **business analytics major** - Courses using R: - **core** - ETC2420: randomization and simulation to understand uncertainty, and a little about Bayesian models - ETC3250: data mining, computationally intensive approach to fitting models - **electives** - ETC3555, ETC3580: advanced statistical models, and advanced machine learning methods - ETC3550, ETF3500, ETX2250: forcasting and multivariate analysis, data analytics ] --- class: bg-main1 ## Masters .huge[ Monash is launching a new masters program, the Masters of Business Analytics. You can learn more about the new masters program at this link: https://www.monash.edu/business/master-of-business-analytics (check out the video too, there are some familiar faces there!) ] --- class: bg-main1 # Assessment marks .huge[ - Please try and finish the peer review for assignment 2 so I can send you your marks :) - Assignment 3 marks being finalised - ED assessment and remaining marks will be uploaded and shared with you via moodle ] --- class: bg-main1 ## Final Exam .huge[ For exam prep, the week before the exam, we will have **three consultation times**. (these will be posted on the course site) - Steph: 1st November 1 - 2pm (W1105/6) - Sayani: 6th November 3 - 4pm (W1105/6) - Mitch: TBA - Sherry: TBA - Nick: TBA ] --- class: bg-main1 ## Final Exam .huge[ The exam from last year is posted. Not all topics are the same this year, and this should be obvious when you look at the questions. ] --- class: bg-main1 # Music from the semester .huge[ If you want to listen to any of the music played this semester you can search for "ETC1010" on spotify, or click on these links: [ETC1010 Openers](https://open.spotify.com/playlist/437mFw9wTy2b17TZksp0Yp?si=n_rlrdB-Tiqd-4HXjLSB3w) [ETC1010 Closers](https://open.spotify.com/playlist/6OxlUzqcsLhVhKcWhLckbx?si=oBezzbIvTG-G3kU1b0gjPA) ] --- class: bg-main1 ## Course evaluation .huge[ *Please complete the course evaluation.* This is a new version, new material, new format. The course will evolve, and your help in improving it is greatly appreciated. ] --- class: bg-main1 ## Share and share alike <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.