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## Asking strangers for help through cold emailing?!
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- Have you ever wanted advice but didn't know who to contact?
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- Email someone in the field that you are interested in and ask about the path they took and what research they are engaged in!
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## My first exposure to R programming was through Shiny
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## My first exposure to R programming was through `shiny` in 2014
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- Shiny is a web application framework for R and is quite different from R, syntactically
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- In 2014, shiny also did not have all of the features it has today
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- Some of the usual R programming headaches did come up such as `stringsAsFactors = FALSE`
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- It was a mixture of learning about Bioinformatics, gene expression data, bioconductor, and *designing a data product for a non-technical user*
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- It was a mixture of learning about Bioinformatics, gene expression data, bioconductor, and *designing a data product for a non-technical user* with *Shiny*.
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- Shiny is a web application framework for R
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- Some of the usual R programming headaches came up such as `stringsAsFactors = FALSE`
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- Gene expression data is not like the `iris` dataset
## Sometimes unpaid volunteer work does pays off...
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-[Google Summer of Code](https://summerofcode.withgoogle.com/) is a global program for undergraduates and graduate students to get funding from **Google** to work on an open source project for the Summer!
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-[Google Summer of Code (GSoC)](https://summerofcode.withgoogle.com/) is a global program for undergraduates and graduate students to get funding from **Google** to work on an open source project for the Summer!
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- What it provides:
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- Opportunity to gain more programming skills
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- Interface with the open source community
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-[Archival hosting](https://www.google-melange.com/archive/gsoc/2015/orgs/rproject/projects/jasdumas.html) of your abstract and code
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- Nobody talks about this heavily, but it does get you a *lifetime referral* for positions at Google!
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## Some of the results from participating in the Google Summer of Code
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- A first author publication in the [*Bioinformatics Journal*](https://academic.oup.com/bioinformatics/article-abstract/32/23/3679/2525634/shinyGEO-a-web-based-application-for-analyzing)!
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-An web application (currently being refactored to submit to [**rOpenSci**](https://ropensci.org/))
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-A web application (currently being refactored to submit to [**rOpenSci**](https://ropensci.org/))
<blockquoteclass="twitter-tweet"data-lang="en"><plang="en"dir="ltr">Does anyone want to hire me to spice up their data with science using <ahref="https://twitter.com/hashtag/rstats?src=hash">#rstats</a>? <br><br>I'm looking for a job! 😬</p>— Jasmine Dumas (@jasdumas) <ahref="https://twitter.com/jasdumas/status/713118293515759616">March 24, 2016</a></blockquote>
**tl;dr: I love learning in a structured setting but I can learn best from doing applied data science in the workplace.**
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## Advice that I wish I heard 2.5 years ago from myself:
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<h2style='color:#ffffff; background-color:#009fe1;'>Ultimately, technical skills, passion, and curiosity are key attributes of a productive data scientist and essential to collaborating with others!</h2>
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<h1style='color:#ffffff; background-color:#009fe1;'>Ultimately, technical skills (including statistical thinking), passion, and curiosity are key attributes of a productive data scientist and essential to collaborating with others!</h1>
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## Alright, on to the fun stuff ... R:
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<h2style='color:#ffffff; background-color:#009fe1;'>R packages are a great way to combine code & documentation to share with others</h2>
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<h1style='color:#ffffff; background-color:#009fe1;'>R packages are a great way to combine code & documentation to share with others</h1>
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