Welcome!

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# Welcome!
### Introduction to Data Science with R <a href='https://therbootcamp.github.io'>www.therbootcamp.com</a> <a href='https://twitter.com/therbootcamp'>@therbootcamp</a>
### October 2018

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<a href="https://therbootcamp.github.io/">Introduction to Data Science with R, October 2018</a>
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<a href="https://therbootcamp.github.io/">www.therbootcamp.com</a>
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# Welcome to the <high>Basel R Bootcamp!</high>

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<img src="https://therbootcamp.github.io/assets/img/640px-Middle_Bridge,_Basel,_Switzerland.jpeg" width="500" height="400">
<center>Wikipedia</center>
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# Schedule and Materials

Click the "Bootcamp running" link on our homepage!

<a href="www.therbootcamp.com">www.therbootcamp.com</a>

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# What is Data Science?

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<img src="http://sudeep.co/images/post_images/2018-02-09-Understanding-the-Data-Science-Lifecycle/chart.png" height="550"> 
<a href = "http://sudeep.co/">Source</a>

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# Aim

>###The aim of this workshop is enable you to thoughtfully and actively use R. You will learn the fundamentals of the R language, as well as cutting-edge packages for wrangling, analyzing, and communicating statistical data.

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# Schedule

We have an <high>ambitious schedule</high>!

>2 days, 3 sessions per day, 2 hours per session, on a variety of topics.

>Each session contains a slide-based <high>introduction</high> and a hands-on <high>programming practical</high>

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# Introduction

<high>15 - 45 minutes</high> slide based introduction to help you understand the basic concepts, including:
 
&emsp;&emsp;1 - Theory 
&emsp;&emsp;2 - Code examples 
&emsp;&emsp;3 - Live demonstrations

<high>All available online</high>. Follow along, and don't worry about memorizing

<a href="https://therbootcamp.github.io/Intro2DataScience_2018Oct/">This is a Link to our materials</a>.

<high>Be interactive! Ask questions!</high>

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<div class="figure" style="text-align: center">
<img src="https://img.freepik.com/free-vector/business-presentation_23-2147511785.jpg?size=338&ext=jpg" alt="&lt;font size = 3&gt;Freepik.com&lt;/font&gt;" width="45%" />
Freepik.com
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# Practicals

<high>Write your own R scripts!</high>

1 - Anywhere from 10 ~ 30 programming tasks.

2 - Starts easy, gets progressively more challenging

3 - Struggle, work together, ask questions and challenge yourself!

4 - Go at your own pace and finish as much as you can.

5 - We'll give you all the answers later

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Example:<a href="https://therbootcamp.github.io/Intro2DataScience_2018Oct/_sessions/Data/Data_practical.html"> Data practical </a>

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# 1-1 Coaching

Learning a computer language is <high>hard</high>.

<high>Take breaks when you need them</high>, and don't get discouraged!

Sometimes, you may find yourself in need of some <high>intensive help</high>. That's ok! We're here to help!

At any time, you can <high>request a 15 minute 1-1 intensive</high> coaching session. We'll grab a coffee and work through it together.

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<div class="figure" style="text-align: center">
<img src="http://www.repairedcomputer.com/i/68/c/14/quality-computer-repair.1360h.jpg" alt="&lt;font size = 3&gt;repairedcomputer.com&lt;/font&gt;" width="60%" />
repairedcomputer.com
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<div class="figure" style="text-align: center">
<img src="https://cdn.southampton.ac.uk/assets/imported/transforms/content-block/BoxGridWithImages_ImageBlock/D771F505B1D44CB9A9C34653E19EA026/_3JB3522.jpg_SIA_JPG_fit_to_width_MEDIUM.jpg" alt="&lt;font size = 3&gt;University of Southampton&lt;/font&gt;" width="60%" />
University of Southampton
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# Cheatsheets

<table width="100%" style="cellspacing:0; cellpadding:0; border:none">
 <tr> 
 <td>
 RStudio 
 <a href="https://github.com/rstudio/cheatsheets/raw/master/rstudio-ide.pdf"><img border="0" alt="W3Schools" src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/rstudio_cheat_ss.png?raw=true" height="180"></a>
 </td>
 
 <td>
 Base R 
 <a href="http://github.com/rstudio/cheatsheets/raw/master/base-r.pdf"><img border="0" alt="W3Schools" src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/baser_cheat_ss.png?raw=true" height="180"></a>
 </td> 
 
 <td> 
 Data Import 
 <a href="https://github.com/rstudio/cheatsheets/raw/master/data-import.pdf"><img border="0" alt="W3Schools" src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/dataimport_cheat_ss.png?raw=true" height="180"></a>
 </td>
 
 <td>
 Data Wrangling 
 <a href="https://github.com/rstudio/cheatsheets/raw/master/data-transformation.pdf"><img border="0" alt="W3Schools" src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/datatransform_cheat_ss.png?raw=true" height="180"></a>
 </td>

<td>
 Data Visualization 
 <a href="https://github.com/rstudio/cheatsheets/raw/master/data-visualization-2.1.pdf"><img border="0" alt="W3Schools" src="https://github.com/therbootcamp/therbootcamp.github.io/blob/master/_sessions/_image/datavis_cheat_ss.png?raw=true" height="180" ></a>
 </td>

</tr>
</table>

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# Breaks

1 - Feel free to take breaks when you need them!

2 - Help yourself to refreshments

3 - Lunch on your own or together at Tibits

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<img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/tibits.jpg" height="400" vspace="10"> 
<a href="https://www.tibits.ch/de/restaurants.html#tibits-basel">Tibits.ch</a>

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# Introductions

1. What is your name?

2. Where are you from?

3. What is your current profession?

4. What is your programming experience?

5. Have you used R in the past?

6. What would you most like to do with R?

7. Coffee or tea?

8. Pizza or pasta?

9. Beer or wine?

10. Berlin or Paris?

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<img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/introductions.jpg" height="400">
<center>artofmanliness.com
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<hfont><high>Questions?</high></hfont> 
 <a href = "https://therbootcamp.github.io/Intro2DataScience_2018Oct/">Link to schedule</a>

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