---
title: "ETC1010: Data Modelling and Computing"
subtitle: "Final Lecture"
author: "Dr. Nicholas Tierney"
institute: "Monash"
date: "`r Sys.Date()`"
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## 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.
]

---
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# Special thanks to the super tutor dream team

.huge[
Mitch

Steff

Sayani

Sherry
]

---
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# What Now?



---

## Join the R community 

```{r alison-horst, out.width = "50%", echo = FALSE}
knitr::include_graphics("https://raw.githubusercontent.com/allisonhorst/stats-illustrations/master/rstats-artwork/welcome_to_rstats_twitter.png")
```


*image from Alison Horst*

---
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## 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/)
]

---
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## 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
]

---
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## 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!)
]

---
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# 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
]

---
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## 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
]

---
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## 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.
]

---
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# 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)
]

---
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## 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.
]

---
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## 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>.
