Next steps

# Next steps
### Intro to Data Science with R <a href='https://therbootcamp.github.io'> The R Bootcamp @ Unibe </a> <a href='https://dwulff.github.io/Intro2R_Unibe_2021/'> </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>
### September 2021

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 <a href="https://therbootcamp.github.io/">
 
 The R Bootcamp | September 2021
 
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In 3 days, 9 sessions, and 21 hours you have come a long way.

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<img src="https://dwulff.github.io/Intro2R_Unibe_2021/_sessions/Welcome/image/schedule.png" height="580" align="center">
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# How to continue

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# Books

Here is a series of useful good books ordered by complexity.

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# Websites

The web is a great place to learn about R.

[Google](www.google.com) or [Rseek](www.rseek.org), which is a wrapper around google to maximize hits related to R. However, most of the time Google works just fine. Just be sure to add *r* to the the search query.

Then you will most likely be redirected to one of two pages

[R-bloggers](www.r-bloggers.com) is a website on which R users inform each other on the newest developments. See, e.g., Nathaniel's [entry](https://www.r-bloggers.com/the-new-and-improved-pirateplot-now-with-themes/).

[Stackoverflow](www.r-bloggers.com) is a website on which R users exchange problems and solutions to problems. Try post something yourself. You will be amazed by the turnaround.

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 <a href="https://www.google.com/"><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/google.png" height="100"></a><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/comma.png" height="50"><a href="http://rseek.org/"><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/rseek.png" height="100" style="margin-left:10px; margin-buttom:10px"></a> 
 <a href="https://www.r-bloggers.com/"><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/rbloggers.png" height="105" style="margin-bottom:10px"></a> 
 <a href="https://stackoverflow.com/"><img border="0" alt="W3Schools" src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/stackoverflow.png" height="105"></a>

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# Other courses

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 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Einführung in die moderne Datenanalyse mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/0.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>Oct 15, 2021</high> 
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Explorative Datenanalyse mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/1.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>Sep 24-25, 2021</high> 
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Statistik mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/2.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>Oct 22-23, 2021</high> 
 </a>
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Maschinelles Lernen mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/3.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>Nov 19-20, 2021</high> 
 </a>
 
 </td>
 <td>
 
 <a class="project-link" href="https://therbootcamp.github.io/#courses" align="center">
 Reporting mit R 
 
 <img src="https://therbootcamp.github.io/img/courses/4.png" height="180px" style="border-radius:50%;border:10px solid #E9ECEF"></img> 
 <high>tba 2021</high> 
 </a>
 
 </td>
 </tr>

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# Thank you!