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