class: center, middle, inverse, title-slide # Next steps ### Introduction to R
Bern R Bootcamp
### June 2020 --- layout: true <div class="my-footer"> <span style="text-align:center"> <span> <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/by-sa.png" height=14 style="vertical-align: middle"/> </span> <a href="https://therbootcamp.github.io/"> <span style="padding-left:82px"> <font color="#7E7E7E"> www.therbootcamp.com </font> </span> </a> <a href="https://therbootcamp.github.io/"> <font color="#7E7E7E"> Introduction to R | June 2020 </font> </a> </span> </div> --- .pull-left45[ <br><br><br><br><br> # Hello Data Scientist! In 3 days, 9 sessions, and 21 hours you have come a long way. ] .pull-right4[ <img src="https://dwulff.github.io/Intro2R_Unibe/_sessions/Welcome/image/schedule.png" height="580" align="center"> ] --- .pull-left35[ # Data Scientist > *80% of a data scientist’s valuable time is spent simply finding, cleaning, and organizing data, leaving only 20% to actually perform analysis.* > Harvard Business Review ] .pull-right6[ <br><br> <p align = "center"> <img src="https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/_sessions/_image/data_scientist_activities.jpg" height = 500><br> <font size=2><a href="https://www.wsj.com">Wall Street Journal</a> </p> ] --- # How to continue .pull-left5[ <font size = 4><i> <font size = 6> 1. Practice<br> 2. Read books<br> 3. Consult websites<br> 4. Get support<br> 5. Take courses<br> ] </font> <br> .pull-right5[ <p align="center"><img border="0" alt="W3Schools" src="http://www.theunmanageableemployee.com/wp-content/uploads/2011/07/5cs-stones-cropped-11052730.jpg?w=112"></p> ] --- # Books Here is a series of useful good books ordered by complexity. <table width="80%" style="cellspacing:0; cellpadding:0; border:none; padding-top:30px"> <tr> <td> <a href="http://r4ds.had.co.nz/"><img border="0" alt="W3Schools" src="http://r4ds.had.co.nz/cover.png" height="180"></a> </td> <td> <a href="https://covers.oreillystatic.com/images/0636920028574/cat.gif"><img border="0" alt="W3Schools" src="https://covers.oreillystatic.com/images/0636920028574/cat.gif" height="180"></a> </td> <td> <a href="https://ggplot2-book.org/"><img border="0" alt="W3Schools" src="https://images-na.ssl-images-amazon.com/images/I/31uoy-qmhEL._SX331_BO1,204,203,200_.jpg" height="180"></a> </td> <td> <a href="https://www.springer.com/de/book/9783540799979"><img border="0" alt="W3Schools" src="https://images.springer.com/sgw/books/medium/9783540799979.jpg" height="180" ></a> </td> <td> <a href="https://bookdown.org/ndphillips/YaRrr/"><img border="0" alt="W3Schools" src="https://bookdown.org/ndphillips/YaRrr/images/YaRrr_Cover.jpg" height="180" ></a> </td> <td> <a href="https://www.orellfuessli.ch/shop/home/artikeldetails/ID35367941.html?ProvID=10917736&gclid=Cj0KCQiAg_HhBRDNARIsAGHLV5238Q26gQmFttHRnYGjcAhz4CslStb-3qBegvuZS5gnCpWSLNlQvF0aAgfOEALw_wcB"><img border="0" alt="W3Schools" src="https://assets.thalia.media/img/35367941-00-00.jpg" height="180" ></a> </td> </tr> <tr style="background-color:#ffffff"> <td> <a href="http://appliedpredictivemodeling.com/"><img border="0" alt="W3Schools" src="http://static1.squarespace.com/static/51156277e4b0b8b2ffe11c00/t/51157487e4b0b8b2ffe16829/1509217882069/?format=1500w" height="180" ></a> </td> <td> <a href="http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf"><img border="0" alt="W3Schools" src="https://images-na.ssl-images-amazon.com/images/I/41EaH4W9LVL._SX332_BO1,204,203,200_.jpg" height="180" ></a> </td> <td> <a href="https://www.manning.com/books/deep-learning-with-r"><img border="0" alt="W3Schools" src="https://images-na.ssl-images-amazon.com/images/I/51h5d4dYaoL._SX396_BO1,204,203,200_.jpg" height="180" ></a> </td> <td> <a href="https://csgillespie.github.io/efficientR/"><img border="0" alt="W3Schools" src="https://csgillespie.github.io/efficientR/figures/f0_web.png" height="180" ></a> </td> <td> <a href="www.rcpp.org/"><img border="0" alt="W3Schools" src="http://t3.gstatic.com/images?q=tbn:ANd9GcSO9T6JQYtpQgcaCXudbqMB-fnvTjGowsnmeh9-BQku3zveR4-J" height="180" ></a> </td> <td> <a href="http://adv-r.had.co.nz/"><img border="0" alt="W3Schools" src="https://images.tandf.co.uk/common/jackets/amazon/978146658/9781466586963.jpg" height="180" ></a> </td> </tr> </table> <br> --- .pull-left4[ # 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. <font size = 4><i>Then you will most likely be redirected to one of two pages</i></font> [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. ] .pull-right5[ <p align="left" style="padding: 0 0px"><br><br><br><br><br><br><br> <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><br><br><br><br> <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><br> <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> </p> ] --- # Support <table class="tg" style="cellspacing:0; cellpadding:0; border:none"> <col width="22%"> <col width="22%"> <col width="22%"> <tr> <th class="tg-yw4l" valign='top'> <p align="center"><br> <a href="www.dirkwulff.org"><img border="0" alt="W3Schools" src="https://therbootcamp.github.io/img/team/1.png" height="230" style="border-radius:50%"></a><br> <p align="center"> <font size = 5>Dr. Dirk Wulff</font><br><br> <a href="www.dirkwulff.org"><b>dirkwulff.org</b></a><br> <a href="https://github.com/dwulff"><b>github.com/dwulff</b></a><br> <font size=4><i>packages: </i></font> <a href="https://cran.r-project.org/web/packages/cstab/index.html"><b>cstab</b></a>, <br> <a href="https://cran.r-project.org/web/packages/mousetrap/index.html"><b>mousetrap</b></a>, <a href="https://cran.r-project.org/web/packages/memnet/index.html"><b>memnet</b> <a href="https://github.com/dwulff/choicepp"><b>choicepp</b> </p> </th> <th class="tg-yw4l" valign='top'><p align="center"><br> <a href="https://psychologie.unibas.ch/en/persons/markus-steiner/about-me/"><img border="0" alt="W3Schools" src="https://therbootcamp.github.io/img/team/2.png" height="230" style="border-radius:50%"></a><br> <p align="center"> <font size = 5>Markus Steiner</font><br><br> <a href="https://github.com/mdsteiner"><b>github.com/mdsteiner</b></a><br> <font size=4><i>packages: </i></font> <a href="https://github.com/mdsteiner/ShinyPsych"><b>ShinyPsych</b></a>, <br> <a href="https://github.com/mdsteiner/EFAtools"><b>EFAtools</b></a> <br><br> </p> </th> <th class="tg-yw4l" valign='top'> <p align="center"> <p align="center"><br> <a href="https://www.schulte-mecklenbeck.com/"><img border="0" alt="W3Schools" src="https://therbootcamp.github.io/img/team/3.png" height="230" style="border-radius:50%"></a><br> <p align="center"> <font size = 5>Dr. Michael Schulte-<br>Mecklenbeck</font><br><br> <a href="www.schulte-mecklenbeck.com"><b>schulte-mecklenbeck.com</b></a><br> <a href="https://github.com/schultem"><b>github.com/schultem</b></a><br><br> </p> </th> </tr> </table> --- # Weiterführende Kurse <table class="tg" style="cellspacing:0; cellpadding:0; border:none;"> <tr valign="top"> <col width="25%"> <col width="25%"> <col width="25%"> <td> <p align="center"> <a class="project-link" href="http://therbootcamp.github.io/#courses" align="center"> <font style="font-size:20px;weight:700"><br>Reporting mit R<br></font><br> <br> <img src="https://therbootcamp.github.io/img/courses/4.png" height="230px" style="border-radius:50%;border:10px solid #E9ECEF"></img><br><br> <high>Juni 5/6, 2020</high><br><br><br> </a> </p> </td> <td> <p align="center"> <a class="project-link" href="http://therbootcamp.github.io/#courses" align="center"> <font style="font-size:20px;weight:700"><br>Statistik mit R<br></font><br> <br> <img src="https://therbootcamp.github.io/img/courses/2.png" height="230px" style="border-radius:50%;border:10px solid #E9ECEF"></img><br><br> <high>September 25/26, 2020</high><br><br><br> </a> </p> </td> <td> <p align="center"> <a class="project-link" href="http://therbootcamp.github.io/#courses" align="center"> <font style="font-size:20px;weight:700"><br>Machine Learning mit R<br></font><br> <br> <img src="https://therbootcamp.github.io/img/courses/1.png" height="230px" style="border-radius:50%;border:10px solid #E9ECEF"></img><br><br> <high>Okt 23/24, 2020</high><br><br><br> </a> </p> </td> </tr> --- .pull-left45[ # Please provide Feedback <br><br> <p align = "center"> <img src="image/feedback.png" height=350px></img><br> <font style="font-size:10px">from <a href="https://cdn-images-1.medium.com/max/1600/1*5OZNYAfzDZfM1lwJBZEuHQ.png">medium.com</a></font> </p> ] .pull-right45[ <p align="center"><br><br> <iframe src="https://docs.google.com/forms/d/e/1FAIpQLSeBqsc5iS0BQpoOHfrstZl5ViNWR0eRPGqJPMGyyMGtaxeQhg/viewform?embedded=true" width="430" height="550" frameborder="0" marginheight="0" marginwidth="0">Loading…</iframe></p> ] --- class: center, middle # Thank you!