This digital book contains the material for the Graduate Special Topics course WILD 6900: Reproducible Data Science. The aim of the course is to provide students with practical skills to manage and process their data throughout their life cycle, from the moment they are entered into a computer to the moment they are used in a publication, document, presentation, etc. The includes project organization, GitHub, Spreadsheets, Relational Databases, SQL, R, etc.

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Learn how to code in R, Python, utilize machine learning, AI, though short video lesson and interactive exercises.

*This is a subscription based platform and has costs associated to access.

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As a diversity initiative, the mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently under-represented in the R community. R-Ladies’ primary focus, therefore, is on supporting minority gender R enthusiasts to achieve their programming potential, by building a collaborative global network of R leaders, mentors, learners, and developers to facilitate individual and collective progress worldwide.

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Timelapse Image Analyzer helps scientists do visual analysis and encoding, and it’s free!

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