Resources

I collected some free resources relate to research skills.

Coding

• Python Data Science Handbook by Jake VanderPlas
• R for Data Science by Hadley Wickham & Garrett Grolemund
• Advanced R by Hadley Wickham
• Tidy Evaluation by Lionel Henry & Hadley Wickham
• Mastering Spark with R by Javier Luraschi, Kevin Kuo, & Edgar Ruiz
• Intro to R Bayes Packages by Melissa Wong
• HackerRank for coding practice in multiple programming languages esp. SQL and Python

Statistics

• Learning Statistics with R by Danielle Navarro
• Geocomputation with R by Robin Lovelace, Jakub Nowosad, & Jannes Muenchow
• An Introduction to Spatial Data Analysis and Visualisation in R by Joshua Menke & William Menke
• Environmental Data Analysis with Matlab by Robin Lovelace, Jakub Nowosad, & Jannes Muenchow
• Forecasting: Principles and Practice by Rob J Hyndman & George Athanasopoulos
• An Introduction to Bayesian Thinking by Merlise Clyde et al.
• VassarStats is a platform that explains statistics concepts (frequentist type) and for online small scale data analyses
• JPSP is an open source statistics program that’s similar to SPSS, but with additional Bayesian analyses options
• Bernard Marr a listserv for trends in Big Data & Analytics

Data Visualization

• Fundamentals of Data Visualization by Claus O. Wilke
• R Graphics Cookbook by Winston Chang
• R Graph Gallery for different figure templates in R
• Matplotlib Gallery for figure templates in Python
• Mastering Shiny by Hadley Wickham (Shiny is a popular data app)

Modeling

• Neuromatch Acadmy Course Materials
• Neurohackademy Course Videos through UW eScience Institute
• Machine Learning Summer Schools Lecture Videos in the past years
• Foundations of Machine Learning curriculum slides and code for core machine learning concepts
• Tidy Modeling with R by Max Kuhn & Julia Silge
• Text Mining with R by Julia Silge & David Robinson
• Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn & Kjell Johnson
• Feature Engineering for Machine Learning by Alice Zheng & Amanda Casari
• Pattern Recognition and Machine Learning by Christopher M. Bishop
• Machine Learning Crash Course by Google
• Bayes Rules! An Introduction to Bayesian Modeling with R by Alicia A. Johnson, Miles Ott, & Mine Dogucu
• Kaggle for downloading some fun public datasets to try out machine learning algorithms

Neuroscience

• Functional Neuroanatomy for an introduction to neuroanatomy with virtual brain dissection
• Neuroscience Gateway (NSG) gives neuroscientists free access to High Performance Computing resources
• EBRAINS gives researchers access to shared and curated open data (including the Human Brain Project data)
• Allen Institute’s The Virtual Science Lab teaches researchers how to use open data from Allen Institute in class
• BrainFacts.org for fun facts of the human brain (The book Brain Facts is also the guide book for Brain Bee events)

Academic Writing

• The Writing Workshop by Barbara Sarnecka
• ProWritingAid or Grammarly for copy editing
• Mendeley or Zotero for managing and citing literatures
• Purdue Online Writing Lab for APA format
• papaya - an R package for creating APA style manuscript using Rmarkdown
• Overleaf for creating documents using LaTeX (different journal templates available, including IEEE)
• Power Writing - a newsletter on writing tips that updates every Tuesday by Daphne Gray-Grant

Presentation

• a nature article on how scientific presentation is different from a journal article
• Morrison billborad poster - an award-winning poster style that helps you make quick converational poster
• Activate to Captivate a monthly newsletter that gives tips on communication skills by Bri McWhorter
• ComSciCon - a series of workshops on science communication
• SCOPE (Science Communication Online Programme) hosted by Northwestern University

Peer Review

• Focus on Peer Review - a free Nature Masterclasses’ online course on peer review process
• Elsevier Researcher Academy provides courses to understand the publishing process (including review)

Others

• The Professor Is In a blog about navigating different stages of academic career
• The Batch gives you a weekly fresh taste of the latest research and applications in the field of AI by Andrew Ng
• xcorr: comp neuro a blog about computational neuroscience, data science, getting into industry by Patrick Mineault
• Tanya Jonker a blog about academic and industry job markets by cognitive neuroscientist Tanya Jonker
• Devpost for some fun online hackathon opportunities