Build a Strong Data Science Portfolio

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Emily Robinson Data Scientist at DataCamp Build a Strong Data Science Portfolio

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About Me ➔ Background in the social sciences ➔ R programmer ➔ Formerly at Etsy ➔ Data Scientist at DataCamp ➔ Writing a book on data science careers with Jacqueline Nolis

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Why have a portfolio?

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Build your skills

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Advance your Career http://varianceexplained.org/r/year_data_scientist/

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Expand your Network

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Give Back

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Some components Analyses Blog posts Talks Apps Open Source Projects

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Analyses

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How?

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Dataset -> Question

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Dataset -> Question

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Question -> Dataset http://varianceexplained.org/r/trump-tweets/

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Tip 1: Include visualizations https://hackernoon.com/more-than-a-million-pro-repeal-net-neutrality-comments-were-likely-faked-e9f0e3ed36a6

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Tip 2: hoose a topic you’re excited about https://masalmon.eu/2018/01/01/sortinghat/

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Tip 3: Limit your scope https://kkulma.github.io/2017-08-13-friendships-among-top-r-twitterers/

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Making progress Inspired by bit.ly/drob-rstudio-2019 Less valuable More valuable Idea Getting data Cleaning Exploratory Final result Modeling Less valuable More valuable Work only on your computer Work online (GitHub, Blog, Kaggle) How I used to think about analyses How I think about analyses now

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The Full process

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Put it on GitHub

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Blog posts

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Where? ➔ Easy & quick to set up ➔ Organic traffic (medium) ➔ Less customizability/control

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Where? ➔ Complete control ➔ Always free ➔ Little longer to set-up ➔ May get stuck debugging issues

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Explain your analysis https://theambitiouseconomist.com/an-analysis-of-the-gender-wage-gap-in-australia/

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Teach a concept https://juliasilge.com/blog/stack-overflow-pca/

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Share your experience https://d4tagirl.com/2018/08/rstudio-conf-diversity-scholarships-for-the-win

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Give advice www.rladiesnyc.org/post/2019-nyr-conference-tips/ towardsdatascience.com/prioritizing-data-science-work-936b3765fd45

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Talks

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Not just for extroverts!

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Where to start?

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First talk Jared Lander (meetup organizer) asked me to speak

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Snowball effect

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CFPs (Call for Proposals) ➔ Look for conferences offering first- time speaker help ➔ Be succinct ➔ Focus on the outcome for attendees ➔ Make it topical ➔ R-Ladies abstract review

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Apps

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App for following conference tweets https://gadenbuie.shinyapps.io/tweet-conf-dash/

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Tweet mashup https://tweetmashup.com/

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How?

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Share it!

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Open Source Projects

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Help yourself & others https://www.rstudio.com/resources/videos/contributing-to-tidyverse-packages/

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Documentation is a great place to start There are many ways to contribute to scikit-learn … Improving the documentation is no less important than improving the library itself. - From scikit-learn contributing guide (emphasis mine) https://github.com/scikit-learn/scikit-learn/blob/master/CONTRIBUTING.md

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Is anything too small? https://jcahoon.netlify.com/post/2019/06/16/first-two-weeks-this-summer-at-rstudio/

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The process https://thisisnic.github.io/2018/11/28/ten-steps-to-becoming-a-tidyverse-contributor/ ➔ Watch the repos ➔ Ask if you can help w/ issues ➔ Make the changes & submit a pull request

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Contribute to beginner-friendly issues bit.ly/drob-rstudio-2019

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If you’ve copied and pasted code three times, write a function If you’ve used the same function across three analyses, write a package Making your own package/library

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Isn’t making a package for “advanced programmers”? From Susan Johnston, as used in Jim Hester’s RStudio 2018 conference talk https://resources.rstudio.com/rstudio-conf-2018/you-can-make-a-package-in-20-minutes-jim-hester qCan you open and run R / Python? qCan you install a package? qCan you write code? qCan you write a function? qCan you learn to write a function? Excellent, you can write a package!

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Conclusion

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Potential Components Analyses Blog posts Talks Apps Open Source Projects

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Additional resources ➔ Making Peace with Personal Branding by Rachel Thomas ➔ Overcoming Social Anxiety by Steph Locke ➔ Keeping up with blogdown by Mara Averick ➔ Advice to Aspiring Data Scientists: Start a Blog by David Robinson ➔ Speaking at conference by Cassie Kozyrkov ➔ List of speaking resources ➔ R packages book by Hadley Wickham and Jenny Bryan

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Thank you! bit.ly/erdatamatters hookedondata.org @robinson_es bit.ly/buildcareerds

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Benefits