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Análise em R

DESCRIBING PATTERNS

to make proper predictions

R Courses

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Not everyone is comfortable with the mathematical language or the programming language, which used to be exclusively the language of R. Many students, professionals and even renowned scientists from different areas need to live and overcome the difficulty with statistics in their day. -to-day lives.

We believe that the autonomy of students and scientists in relation to statistical data analysis is a great power that will allow us to advance a lot in terms of scientific knowledge.

In a highly competitive world, in which the vast majority of articles are rejected without revision, an adequate and elegant statistical analysis is essential for us to get published.

In Introduction to R courses, You and R ensures you learn to use R with any prior knowledge. We have experience in introducing the R environment and language to students in different areas of knowledge, so that everyone can have the necessary tools to evolve and make autonomous use of this free and available resource.

 

You can also use R and do your own statistical analysis!

Meet You and R.

The Scientific Method

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With the scientific method, we can objectively answer questions and understand the effect of variables, according to each question.

The scientific method is the most powerful tool available for us to make models and predictions.

However, it is very common for students and companies to be unable to formulate good scientific questions, based on proper hypotheses and set their expectations. As a result, it gets harder to decide on the experimental design and the necessary statistical analysis.

We offer the Scientific Method course, in which we discuss in a theoretical and practical way how to execute this method flawlessly.

From the formulation of questions to the conclusion of the research project, including the writing of texts and graphic materials, all sessions contain concepts of scientific method.

Get in touch with You and R and learn more about a course to solve this fundamental problem and increase the impact of your results.

© 2021 por You and R  - Data Analysis.

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