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<!DOCTYPE html>
<html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="mysite.css">
</head>
<body>
<!-- Menu Bar -->
<div class="topnav">
<a href="index.html">Home</a>
<a href="projects.html">Projects</a>
<a class="active" href="resources.html">Resources</a>
<!--<a href="topics.html">Topics</a>-->
<!--<a href="talks.html">Talks</a>-->
<a href="articles.html">Blog</a>
<a href="about.html">About</a>
</div>
<h1>Resources</h1>
Resources I've found useful on my journey to becoming a Data Scientist.
<h2>Books</h2>
<h3>Machine Learning & Data Science</h3>
<ul>
<li><a href="https://www.amazon.co.uk/Doing-Data-Science-Straight-Frontline-ebook/dp/B00FRSNHDC/">Doing Data Science (O'Neill, Schutt)</a></li>
<li><a href="https://www.springer.com/gp/book/9781461468486">Applied Predictive Modelling (Kuhn, Johnson)</a></li>
</ul>
<h3>R</h3>
<ul>
<li><a href="https://r4ds.had.co.nz/">R For Data Science (Grolemund, Wickham)</a></li>
<li><a href="https://www.amazon.co.uk/Reproducible-Research-Studio-Second-Chapman/dp/1498715370">Reproducible Research With R and RStudio (Gandrud)</a></li>
<li><a href="https://link.springer.com/book/10.1007/978-1-4614-7138-7">An Introduction To Statistical Learning with Applications in R (James, Witten, Hastie, Tibshirani)</a></li>
</ul>
<h3>Python</h3>
<ul>
<li><a href="https://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb">A Whirlwind Tour of Python (VanderPlas)</a></li>
<li><a href="https://jakevdp.github.io/PythonDataScienceHandbook/">Python Data Science Handbook (VanderPlas)</a></li>
<li><a href="https://www.oreilly.com/library/view/introduction-to-machine/9781449369880/">Introduction to Machine Learning with Python (Guido, Müller)</a></li>
</ul>
<h3>Statistics</h3>
<ul>
<li><a href="https://nostarch.com/learnbayes">Bayesian Statistics The Fun Way (Kurt)</a></li>
<li><a href="https://www.amazon.co.uk/Statistics-Explained-Introductory-Guide-Scientists/dp/0521183286">Statistics Explained (McKillup)</a></li>
<li><a href="https://www.amazon.co.uk/Art-Statistics-Learning-Pelican-Books/dp/0241398630/">The Art of Statistics (Spiegelhalter)</a></li>
<li><a href="https://www.oreilly.com/library/view/practical-statistics-for/9781491952955/">Practical Statistics for Data Scientists (Bruce & Bruce)</a></li>
<li><a href="https://www.amazon.co.uk/Basic-Business-Statistics-Global-Berenson/dp/1292069023">Basic Business Statistics (Berenson, Levine, Szabat)</a></li>
<li><a href="https://www.pearson.com/us/higher-education/product/Levine-Business-Statistics-A-First-Course-7th-Edition/9780321979018.html">Business Statistics: A First Course (Levine et al)</a></li>
</ul>
<h2>Cheat Sheets and "Top X"s</h2>
<ul>
<li><a href="https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html">Choosing an algorithm - from scikit-learn</a></li>
<li><a href="https://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/">Choosing an algorithm - from SAS</a></li>
<li><a href="https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf">Python for Data Science - from DataCamp</a></li>
<li><a href="https://treehouse-code-samples.s3.amazonaws.com/Python/jupyter-shortcuts.pdf">Jupyter shortcuts</a></li>
<li><a href="http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html"> Top 50 Ggplot Visualisations </a></li>
<li><a href="https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/"> Top 50 Matplotlib Visualisations </a></li>
</ul>
<h2>Communities</h2>
<ul>
<li><a href="https://rladies.org/">R Ladies</a> and <a href="https://www.meetup.com/rladies-manchester/">R-Ladies Mcr</a></li>
<li><a href="https://www.meetup.com/HER-Data-MCR/">Her + Data Mcr</a></li>
<li><a href="https://www.meetup.com/PyData-Manchester/">PyData Manchester</a></li>
<li><a href="https://www.rfordatasci.com/">R For Data Science Online Learning Community</a>
<li><a href="https://www.datavisualizationsociety.com/">Data Visualisation Society</a></li>
<li><a href="https://www.pyladies.com/">Py Ladies</a></li>
</ul>
<h2>Courses & Short Tutorials</h2>
<h3>R</h3>
<ul>
<li><a href="https://www.edx.org/course/data-science-r-basics-2">Data Science: R Basics</a></li>
<li><a href="https://www.linkedin.com/learning/creating-interactive-presentations-with-shiny-and-r/welcome">Creating interactive presentations with Shiny and R</a></li>
<li><a href="https://www.linkedin.com/learning/cleaning-bad-data-in-r">Cleaning bad data in R</a></li>
<li><a href="https://bbc.github.io/rcookbook/#how_to_create_bbc_style_graphics">How To Create BBC Style Graphics</a></li>
</ul>
<h3>Python</h3>
<ul>
<li><a href="https://www.datacamp.com/courses/intro-to-python-for-data-science">Introduction to Python For Data Science</a></li>
<li><a href="https://www.dataquest.io/course/python-for-data-science-fundamentals/">Python for data science - fundamentals</a></li>
<li><a href="https://www.dataquest.io/course/python-for-data-science-intermediate/">Python for data science - intermediate</a></li>
<li><a href="https://towardsdatascience.com/linear-regression-on-boston-housing-dataset-f409b7e4a155">Linear Regression on Boston Housing Data</a></li>
<li><a href="https://www.dataquest.io/blog/natural-language-processing-with-python/">Natural Language Processing with Python</a></li>
<li><a href="https://www.youtube.com/watch?v=WHocRqT-KkU"> Kevin Markham's PyCon2016 Tutorial: Machine Learning with Text in scikit-learn </a></li>
<li><a href="https://www.cs.columbia.edu/~amueller/comsw4995s19/schedule/"> Applied Machine Learning 2019 (Andreas Muller, Colombia University) </a></li>
<li><a href="https://github.com/ines/spacy-course"> SpaCy (Ines Montani) </a></li>
<li><a href="https://gist.github.com/aparrish/2f562e3737544cf29aaf1af30362f469">Understanding Word Vectors (Allison Parrish)</a></li>
</ul>
<h3>Maths & Statistics</h3>
<ul>
<li><a href="https://www.khanacademy.org/math">Khan Academy - various 'Math' tutorials</a></li>
</ul>
<h3>Other</h3>
<ul>
<li><a href="https://www.datacamp.com/courses/introduction-to-shell-for-data-science">Introduction to Shell For Data Science</a></li>
<li><a href="https://www.thoughtworks.com/insights/blog/coding-habits-data-scientists"> Writing good code for data science </a></li>
</ul>
<h2>Data Sources</h2>
<ul>
<li><a href="https://www.gapminder.org/data/">Gapminder</a> - e.g. average babies per woman per country over time</li>
<li><a href="https://www.kaggle.com/">Kaggle</a> - e.g. <a href="https://www.kaggle.com/c/titanic/data">Titanic survival data</a></li>
<li><a href="https://www.motherjones.com/?s=data">Mother Jones</a> - e.g. <a href="https://www.motherjones.com/politics/2012/12/mass-shootings-mother-jones-full-data/">US mass shootings</a></li>
<li><a href="https://data.fivethirtyeight.com/">FiveThirtyEight</a> - e.g. <a href="https://projects.fivethirtyeight.com/trump-approval-ratings/">How popular is Trump?</a></li>
<li><a href="https://data.unicef.org/">UNICEF</a> - e.g. <a href="https://data.unicef.org/topic/gender/gender-disparities-in-education/">Gender disparities in education</a></li>
<li><a href="https://archive.ics.uci.edu/ml/index.php">UCI Machine Learning Repository</a> - e.g. <a href="https://archive.ics.uci.edu/ml/datasets/Heart+Disease">Heart disease data</a></li>
<li><a href="https://www.who.int/gho/database/en/">World Health Organisation (WHO)</a> - e.g. <a href="http://apps.who.int/gho/data/node.main.A1362?lang=en">Malaria data</a></li>
<li><a href="https://data.gov.uk/">UK Government</a> - e.g. <a href="https://data.gov.uk/dataset/3ba20955-3e8c-4956-9257-8a7a72c95d8b/analysing-air-pollution-exposure-in-london">air pollution in London</a></li>
<li><a href="https://www.data.gov/">US Government</a> - e.g. <a href="https://catalog.data.gov/dataset/income-inequality-47b39">Income inequality in California</a></li>
</ul>
<h2>Learning Platforms</h2>
<ul>
<li><a href="https://www.coursera.org/">Coursera</a></li>
<li><a href="https://www.dataquest.io/">DataQuest</a></li>
<li><a href="https://www.khanacademy.org/">Khan Academy</a></li>
</ul>
<h2>Podcasts</h2>
<ul>
<li><a href="http://lineardigressions.com/">Linear Digressions</a></li>
<li><a href="https://www.bbc.co.uk/programmes/p02nrss1/episodes/downloads">More or Less: Behind the Stats</a></li>
<li><a href="https://player.fm/series/pydatamcr">PyData Manchester</a></li>
</ul>
<h2>Twitter</h2>
<ul>
<li><a href="https://twitter.com/dataquestio">Dataquest</a></li>
<li><a href="https://twitter.com/becomingdatasci">Data Science Renee</a></li>
<li><a href="https://twitter.com/d_spiegel">David Spiegelhalter</a></li>
<li><a href="https://twitter.com/hadleywickham">Hadley Wickham</a></li>
<li><a href="https://twitter.com/JonTheGeek">Jon Harmon</a></li>
<li><a href="https://twitter.com/b0rk">Julia Evans</a></li>
<li><a href="https://twitter.com/kaggle">Kaggle</a></li>
<li><a href="https://twitter.com/rlmcelreath">Richard McElreath</a></li>
<li><a href="https://twitter.com/hashtag/rladies?src=hash&lang=en">#rladies</a> and <a href="https://twitter.com/WeAreRLadies">R Ladies</a></li>
<li><a href="https://twitter.com/hashtag/rstats?lang=en">#rstats</a></li>
<li><a href="https://twitter.com/thomasp85">Thomas Lin Pederson</a></li>
<li><a href="https://twitter.com/vboykis">Vicky Boykis</a></li>
<li><a href="https://twitter.com/koehrsen_will">Will Koehrsen</a></li>
</ul>
<h2>YouTube</h2>
<ul>
<li><a href="https://youtu.be/IpGxLWOIZy4">A Friendly Introduction to Machine Learning</a></li>
<li><a href="https://www.youtube.com/user/BCFoltz/playlists">Brandon Foltz - Multiple statistics playlists</a></li>
<li><a href="https://www.youtube.com/watch?v=zouPoc49xbk&list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr">CrashCourse - Statistics</a></li>
<li><a href="https://www.youtube.com/watch?v=Gv9_4yMHFhI&list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF">StatQuest - Machine Learning</a></li>
<li><a href="https://www.youtube.com/playlist?list=PLTJTBoU5HOCRrTs3cJK-PbHM39cwCU0PF">David Langer - Intro to Data Science with R</a></li>
<li><a href="https://www.youtube.com/watch?v=5JnMutdy6Fw">Brandon Rhodes - Pandas From The Ground Up</a></li>
<li><a href="https://www.ted.com/playlists/474/the_best_hans_rosling_talks_yo">Hans Rosling TED Talks</a></li>
<li><a href="https://youtu.be/6zm9NC9uRkk">Modern NLP in Python (PyData DC 2016)</a></li>
<li><a href="https://www.youtube.com/channel/UCXYXSGq6Oz21b43hpW2DCvw">Data Mining With WEKA</a></li>
</ul>
<h2>Other Resource Lists</h2>
<ul>
<li><a href="https://www.dataquest.io/blog/free-books-learn-data-science/">The Best Free Books for Learning Data Science</a></li>
<li><a href="http://www.datasciguide.com/find-content-2/">Data Sci Guide's "Find Content" Search Page</a></li>
</ul>
<h2>My Notes and Code Examples</h2>
<ul>
<li><a href="https://foxnic.github.io/topic_notes/nlp.html">Natural Language Processing (NLP)</a></li>
<li><a href="https://foxnic.github.io/topic_notes/python.html">Python</a></li>
<li><a href="https://foxnic.github.io/topic_notes/sql.html">SQL</a></li>
<li><a href="https://foxnic.github.io/topic_notes/sas.html">SAS</a></li>
<li><a href="https://foxnic.github.io/topic_notes/journalism.html">Data Journalism</a></li>
<li><a href="https://foxnic.github.io/topic_notes/vis_code.html">Data Visualisations</a></li>
</ul>
<br>
</body>
</html>