How much time do you waste analyzing your data?
Do you use Excel or other programs knowing that they are not suitable for your work?
Would you like to improve your CV by including data analysis skills?
Lack of the right approach may have already cost you a lot of time.
The basic courses we offer are designed to quickly get you started on data analysis with R in a simple and practical way. Thanks to the extensive use of laboratories and live sessions with a teacher always available, you will learn to use R to perform statistical analyses, manipulate datasets and create professional graphs for reports, theses or scientific articles.
What it includes
15 hours of training in live sessions
Practical workshops with teacher support
Extensive educational material
PEOPLE'S CHOICE
What it includes
21 hours of training in live sessions
Focus dedicated to the creation of graphs
Practical workshops with teacher support
Extensive educational material
Bonus applied statistics seminar
What it includes
6 hours of training in live sessions
Focus dedicated to the creation of graphs
Extensive educational material
Practical workshops with teacher support
The course is held online and live with a teacher always available. At any time you can interact for clarifications and ask questions
The right range of scripts, quizzes, handouts and resources. The high-quality training material provided will quickly get you started with R and data analysis
Ample space is dedicated to practical laboratories and group work in which, guided by the teacher, you will immediately begin to use R yourself
At the end of the course a certificate of participation is issued,
also in English. Furthermore, you can request recognition of the course for university credits
Trained teacher, kind and available to clarify doubts and explain again.
Finally someone who explains R in an understandable and easy way!
Simple vocabulary, right approach and lots of practice. The best way to learn.
Marine biologist, scientific communicator and expert in data analysis in R. For his research at the Polytechnic University of Marche, first as a doctoral student and then as a post-doc, he used bioinformatics combined with DNA/RNA sequencing technologies to understand the processes molecules that drive the growth and sexual maturation of large pelagic fish. He is active in training on programming and digital skills applied to the environmental sector.