Willkommen

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# Willkommen
### Explorative Datenanalyse mit R <a href='https://therbootcamp.github.io'>The R Bootcamp</a> <a href='https://therbootcamp.github.io/EDA_2020Feb/'> </a>  <a href='https://therbootcamp.github.io'> </a>  <a href='mailto:therbootcamp@gmail.com'> </a>  <a href='https://www.linkedin.com/company/basel-r-bootcamp/'> </a>
### Februar 2020

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 <a href="https://therbootcamp.github.io/">
 
 
 www.therbootcamp.com
 
 
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 <a href="https://therbootcamp.github.io/">
 
 Explorative Datenanalyse mit R | Februar 2020
 
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# Agenda und Materialien

Klicke auf <high>"....running..."</high> auf unserer Website!

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

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# Ziel

>###Das Ziel dieses Kurses ist Euch den kompetenten Umgang mit R für die Aufbereitung, Exploration, und Visualisierung von Daten zu vermitteln.

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# Der Data Science Kreislauf

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<img src="http://sudeep.co/images/post_images/2018-02-09-Understanding-the-Data-Science-Lifecycle/chart.png" height="540"> 
from <a href="http://sudeep.co/">http://sudeep.co/</a>

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# Data Science Rollen

<img src="image/data_science_jobs.png"> 
from <a href="https://news.efinancialcareers.com/sg-en/3001517/data-science-careers-finance">efinancialcareers.com</a>

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# Data Science’s missverstandener Held

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"Each of the three data science disciplines has its own excellence. Statisticians bring rigor, ML engineers bring performance, and analysts bring speed."

"Your analyst is the sprinter; their ability to quickly help you see and summarize what-is-here is a superpower for your process."

"The only roles every business needs are decision-makers and analysts. If you lose your analysts, who will help you figure out which problems are worth solving?"

<a href="https://hbr.org/2018/12/what-great-data-analysts-do-and-why-every-organization-needs-them">Harvard Business Review</a> <a href="https://towardsdatascience.com/secret-paragraphs-from-hbrs-analytics-ddd2ead761d4">Towards Data Science</a>

Cassie Kozyrkov 
Chief Decision Scientist at Google

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# Features in Maschinellem Lernen

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<img src="image/ml_robot.jpg"> 
from <a href="https://medium.com/@dkwok94/machine-learning-for-my-grandma-ca242e97ef62">medium.com</a>

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"…some machine learning projects succeed and some fail. What makes the difference? Easily the most important factor is the features used."

Pedro Domingos, Professor for Computer Science, Uni Washington

"The algorithms we used are very standard for Kagglers. […] We spent most of our efforts in feature engineering."

Xavier Conort, Chief Data Scientist, Data Robot

"Coming up with features is difficult, time-consuming, requires expert knowledge. "Applied machine learning" is basically feature engineering."

Andrew Ng, Founder and CEO of Landing AI

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# Agenda

<ul>
 <li class="m1"><high>Workshop</high></li>
 
 <ul class="level">
 <li>1 Block zu Data IO</li>
 <li>2 Blöcke zu Wrangling</li>
 <li>3 Blöcke zu Plotting</li>
 </ul>
 <li class="m2"><high>Block</high>
 
 <ul class="level">
 <li>Folien-basierten Einführung</li>
 <li>Viele Übungen</li>
 <li>Interaktiven Zusammenfassung</li>
 </ul>
 </li>
</ul>

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<img src="image/schedule.png" height="525" align="center">

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# Einführung

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<br2>

<ul>
 <li class="m1"><high>Einführung</high>
 
 <ul class="level">
 <li>30-45 min</li>
 <li>Konzepte & Code Beispiele</li>
 </ul>
 </li>
 <li class="m2"><high>Materialien</high>
 
 <ul class="level">
 <li>Immer <a href="https://therbootcamp.github.io/EDA_2020Feb/">online verfügbar</a></li>
 </ul>
 </li>
</ul>

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<img src="image/present.jpg" style="width:350px">
 
from <a href="www.Freepik.com">Freepik.com</a>

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# Übungen

<ul>
 <li class="m1"><high>Selber Programmieren</high>
 
 <ul class="level">
 <li>20 - 50 Aufgaben</li>
 <li>Zu Beginn einfach dann zunehmend schwieriger.</li>
 <li>Folgt Eurem eigenen Tempo.</li>
 <li>Antworten kommen später.</li>
 </ul>
 </li>
</ul>

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Beispiel:<a href="https://therbootcamp.github.io/EDA_2020Feb/_sessions/Data/Data_practical.html"> Daten </a>

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# Cheatsheets

<table width="100%" style="cellspacing:0; cellpadding:0; border:none">
 <tr> 
 <td>
 RStudio 
 <a href="image/rstudio-ide.pdf"><img border="0" alt="W3Schools" src="image/rstudio.png" height="180"></a>
 </td>
 
 <td>
 Base R 
 <a href="image/base-r.pdf"><img border="0" alt="W3Schools" src="image/baser.png" height="180"></a>
 </td> 
 
 <td> 
 Data Import 
 <a href="image/data-import.pdf" download><img border="0" alt="W3Schools" src="image/import.png" height="180"></a>
 </td>
 
 <td>
 Data Wrangling 
 <a href="image/data-transformation.pdf"><img border="0" alt="W3Schools" src="image/wrangling.png" height="180"></a>
 </td>

<td>
 Data Visualization 
 <a href="image/data-visualization-2.1.pdf"><img border="0" alt="W3Schools" src="image/plotting.png" height="180" ></a>
 </td>

</tr>
</table>

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# Pausen

<ul>
 <li class="m1">Mach <high>jederzeit</high> Pausen.</li>
 <li class="m2">Bedient euch an der <high>Pausenverpflegung</high>.</li>
 <li class="m3">Lunch alleine oder begleitet uns zum <high>Tibits</high>.</li>
</ul>

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

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# Photos

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# Vorstellung

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<ul>
 <li class="m1">Wie heisst Du?</li>
 <li class="m2">Was ist dein Beruf?</li>
 <li class="m3">Hast du Programmiererfahrung mit R oder anderen Programmiersprachen?</li>
 <li class="m4">Wieso möchtest Du R lernen?</li>
 <li class="m5">Kaffee oder Tee?</li>
 <li class="m6">Bier oder Wein?</li>
 <li class="m7">Berlin oder Paris?</li>
</ul>

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<img src="image/vorstellung.jpg" height="360px">
 
from <a href="www.artofmanliness.com">artofmanliness.com</a>

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<h1><a href=https://therbootcamp.github.io/EDA_2020Feb/index.html>Agenda</a></h1>