E-learning using R: (Bio)statistics
Welcome to the 2022 edition of the >eR-BioStat initiative website. We are a part of the open-source movement and we offer free courses in statistics.
If you are a teacher that needs to give a course in statistics or a student that studies a course in statistics, we are the address.
Just click on the link, download the materials (for free)and teach (yourself) in the class.
If you want to be updated, follow us on social media and follow our blog.
We currently in the process to update all courses and to transform our courses to a fully open source curriculum. We expect to finalize the 2022 edition on September 2022.
Click, Download & Teach
We R a community
Education using R
We offer (mostly) , R based, materials for data analysis courses in higher education programs. The >eR-Biostat initiative is focused on higher education programs at different levels: undergraduate & master in Biostatistics/Statistics/Data science and all levels (including PhD school training) for non-statisticians. We develop new E-learning system for courses ready to be given in class. We follow an applied approach in which students are encouraged to reproduce all examples and illustrations that were discussed in the class.
Community based
Our community development based approach means that, for each course, we use course materials available online that were developed by many independent people. All courses are ready to be given in the class, as a complete course or a support part of an ongoing course.
Free
Registration & Password are not needed. As a part of the open-source movement, we believe that accessibility to free and high quality education materials is crucial to ensure a high standard in education. We offer an open source, mostly R based, education materials in statistics. Everybody (teachers and students) can download and use the courses for free.
Who are we ? The >eR-BioStat initiative
Our GitHub page
Our platform
Our courses
We offer courses at different levels. The green courses are developed at an introductory level. Only basic level knowledge of statistics and R is required. These courses were developed for both non statisticians and statisticians. The courses within this cluster can also be used as courses to support R usage in undergraduate program in biostatistic/statistics. The blue courses are developed at a basic undergraduate level in statistics. A basic level knowledge of statistics and R is required at the beginning of the course. The courses aim to teach the students basic topics on specific subjects. The orange courses are more advanced and are focused on basic statistical modeling and inference methods at a master level.
Courses' structure
We offer few course structures, all of them were developed up to a class level course. Typically, a course in the >eR-BioStat platform consists of
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Slides.
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R programs for the examples discussed in the slides.
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Datasets.
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YouTube tutorials.
Open source
Our open source policy means that course materials, slides, programs for the examples discussed in the courses, are available for you. In some courses, source files for the presentations/course notes are available in PowerPoint or markdown flies. Our aim is to have, as much that it is possible, a complete open source curriculum by the end of 2022.
Courses marked with red sticker are fully open source.
Courses marked with blue sticker are under development and not presented in their final version.
