<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="http://www.r-bloggers.com/tutorial-github-for-data-scientists-without-the-terminal/"></div></div><div><a data-url="http://www.r-bloggers.com/tutorial-github-for-data-scientists-without-the-terminal/" data-counturl="http://www.r-bloggers.com/tutorial-github-for-data-scientists-without-the-terminal/" data-count="horizontal" data-text="Tutorial: GitHub for Data Scientists without the Terminal" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://moderndata.plot.ly/tutorial-github-for-data-scientists-without-the-terminal/"> R – Modern Data</a></strong>, and kindly contributed to <a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Git and GitHub are indispensable tools for anyone analysing data, developing software or disseminating results. Originally designed for software engineers, GitHub is now widely used in many disciplines, especially for researchers in academia. Having a source code management software such as GitHub to host your code and have detailed project documentation is a huge step towards ensuring research is reproducible. It also makes it easier for others to build upon the work you have already done which leads to more efficient use of research time, not to mention your citation count will increase.</p>
<p>Learning <a target="_blank" href="https://git-scm.com/">Git</a> and <a target="_blank" href="https://github.com/">GitHub</a> can be a daunting task, especially if you’re not familiar or used to working with the command line (a.k.a terminal). With this in mind we created a new introductory tutorial, catered towards data scientists using <a target="_blank" href="https://cran.r-project.org/">R</a>, titled:</p>
<p><a target="_blank" href="https://plot.ly/r/github-getting-started-for-data-scientists/">GitHub for Data Scientists without the terminal</a></p>
<p>We provide step-by-step instructions and detailed screenshots to guide you along the way. You will learn about:</p>
<ol>
<li>Installing Git<br>
2. Signup for a GitHub account and a Hello World tutorial<br>
3. Installing GitHub Desktop<br>
4. Version control R code using an example of PCA<br>
5. Create a branch, pull request and merge<br>
6. Introduction to Git functionality in RStudio<br>
7. Create and publish an R Markdown document<br>
8. Create an online CV</li>
</ol>
<p>It is not uncommon now for employers to prioritize your GitHub portfolio over your CV. This <a target="_blank" href="https://plot.ly/r/github-getting-started-for-data-scientists/">tutorial</a> demonstrates how simple it is to get up and running with GitHub. In addition to having an easy-to-use interface, it allows you to easily create websites and host dynamic documents. I encourage you to adopt this workflow, whether you work in industry or academia, to showcase your work, increase efficiency and ensure reproducibility.</p>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="http://www.r-bloggers.com/tutorial-github-for-data-scientists-without-the-terminal/"></div></div><div><a data-url="http://www.r-bloggers.com/tutorial-github-for-data-scientists-without-the-terminal/" data-counturl="http://www.r-bloggers.com/tutorial-github-for-data-scientists-without-the-terminal/" data-count="vertical" data-text="Tutorial: GitHub for Data Scientists without the Terminal" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://moderndata.plot.ly/tutorial-github-for-data-scientists-without-the-terminal/"> R – Modern Data</a></strong>.</div>
<hr>
<a rel="nofollow" href="http://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="http://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="http://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="http://www.r-bloggers.com/?s=tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="http://www.r-bloggers.com/?s=data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="http://www.r-bloggers.com/?s=Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="http://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="http://www.r-bloggers.com/?s=ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="http://www.r-bloggers.com/?s=boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="http://www.r-bloggers.com/?s=map">maps</a>, <a title="Animation in R" rel="nofollow" href="http://www.r-bloggers.com/?s=animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="http://www.r-bloggers.com/?s=RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="http://www.r-bloggers.com/?s=sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="http://www.r-bloggers.com/?s=LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="http://www.r-bloggers.com/?s=SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="http://www.r-bloggers.com/?s=eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="http://www.r-bloggers.com/?s=git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="http://www.r-bloggers.com/?s=hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="http://www.r-bloggers.com/?s=Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="http://www.r-bloggers.com/?s=regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="http://www.r-bloggers.com/?s=PCA">PCA</a>, <a title="Time series" rel="nofollow" href="http://www.r-bloggers.com/?s=time+series">time series</a>, <a title="finance trading" rel="nofollow" href="http://www.r-bloggers.com/?s=trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/H3HuBYIw8uw"></a></div>