Programming Tools in Data Science

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# Programming Tools in Data Science
## Lecture #1: Introduction
### Samuel Orso
### 20 September 2022

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# Motivation

* "data science" hits ~3% of jobs on jobup.ch.
* More than 300 job offers for Switzerland on LinkedIn.
* "_Job applicants with computer skills are highly sought-after due to the increase of technology in the workplace._", [Indeed](https://www.indeed.com/career-advice/resumes-cover-letters/computer-skills), May 2022.

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# Motivation

* Computer skills help in solving problems.

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# General goals

* introduce tools and workflows for reproducible research (R/RStudio, Git/GitHub, etc.); 
* introduce principles of tidy data and tools for data wrangling; 
* exploit data structures to appropriately manage data, computer memory and computations;
* data manipulation through controls, instructions, and tailored functions;
* develop new software tools including functions, Shiny applications, and packages;
* manage the software development process including version control, documentation (with embed code), and dissemination for other users.

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# General goals
<img src="images/diagram.png" width="593" height="459" style="display: block; margin: auto;" />

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# Course logistic and expectation

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# Course logistic and expectation
## Location and time
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* Anthropole 3741
* Every Tuesday morning from 9 to 12. Either class or practical.
* Verify the schedule on the course website.
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## Ideal schedule (every Tuesday 9 to 12)
| Week | Date | Topic | Instructor |   
|---|---|---|---|   
| 1 | 20 Sep | Introduction, RMarkdown, Github | Samuel |   
| 2 | 27 Sep | Exercise and homework 1 | Aleksandr |
| 3 | 4 Oct | Data structures, Control structures | Samuel |
| 4 | 11 Oct | Exercise and homework 2 | Aleksandr |
| 5 | 18 Oct | Functions, project proposal | Samuel |
| 6 | 25 Oct | Exercise and homework 3 | Aleksandr | 
| 7 | 1 Nov | Group project | Aleksandr |
| 8 | 8 Nov| Shiny app, webscraping | Samuel |
| 9 | 15 Nov | Exercise and homework 4 | Aleksandr |
| 10 | 22 Nov | Shiny app, R-pkg | Samuel |
| 11 | 29 Nov | Group project | Aleksandr |
| 12 | 6 Dec | blogdown, visualization | Samuel | 
| 13 | 13 Dec | Group project | Aleksandr | 
| 14 | 20 Dec | Project presentations | Samuel and Aleksandr|

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# Course logistic and expectation
## Material

* You need a laptop
* We work mainly with <img src="images/rlogo.png" width="150px"/> and <img src="images/rstudio.png" width="300px"/>
* All software we work with will be free for academic purposes

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# Course logistic and expectation
## Requirements

* No IT background is assumed from the students but a strong will to learn useful and practical programming skills (Data Science in Business Analytics)
* Willing to work and collaborate in groups (4~6 people)
* Be ready to struggle with your computer!
<center><img src="https://media.giphy.com/media/bPCwGUF2sKjyE/giphy.gif" alt="gif"/></center>

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# Course logistic and expectation
## Grading

* Learning outcomes will be assessed based on the performances within each of the following categories:

Type | Points | Bonus
:-- | :-- | :--
Semester project | 30 | 3
Homeworks | 30 | 3

* 4 homeworks in groups of 7.5 points (**penalty for late submission**).
* No final examination for this class.
* Final presentation of project last day of class (20th Dec).

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# Course logistic and expectation
## Communication

* We use <img src="images/slack.png" width="200px"/> to communicate and many more
* We use the **NEIN rule**! (No Email, only If Necessary)
* More info at [https://ptds.samorso.ch/](https://ptds.samorso.ch/)
* To access slack: register at [https://shiny.samorso.ch/fillingform/](https://shiny.samorso.ch/fillingform/) and wait your invitation <img src="images/qrcode_shiny.samorso.ch.png" width="150px"/>

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## Take 3 minutes to complete the form
<iframe src="https://shiny.samorso.ch/fillingform/" width="100%" height="400px" data-external="1"></iframe>

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# Question ?

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<a href="https://ptds.samorso.ch/">
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</a>

<a href="https://github.com/ptds2022/">
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# Everything's done? Follow your first tutorial (10 minutes)
## Make sure you have `R` and `RStudio` installed and follow the 
## "R/RStudio installation and setup" tutorial