Call until August 28 for data analysis with R diploma and reproducible research for biosciences

A complete Diploma program is offered by the Pontificia Universidad Católica de Valparaíso, whose call ends on August 28 of this year, andhe Diploma in Data Analysis with R and Reproducible Research for Biosciences delivers theoretical and practical skills in modern data science and reproducible research with an emphasis on Biosciences.

The professors of the program are Dr. María Angélica Rueda Calderón and Dr. Jose Gallardo Matus, both researchers from the Pontifical Catholic University of Chile. The experts point out that, during the course, students will develop fundamental skills for storing, reading, processing, analyzing, and presenting research results using the R, Rstudio, and Rmarkdown software.

In addition, under the paradigm of reproducible research, students will use the Github version control software to develop a personal data analysis project. The contents of the course are explained using different case studies with an emphasis on Biosciences.

This diploma course is for professionals or graduates of Agronomy, Biology, Marine Biology, Biochemistry, Biotechnology, Microbiology, veterinary medicine and areas related to research with living organisms and biological resources.

DIPLOMA PROGRAM

DIPLOMA PROGRAM IN DATA ANALYSIS WITH R FOR BIOSCIENCES

APPLICATIONS

Until August 28 or until quotas are filled.

APPLY FOR OUR DIPLOMA R FOR BIOSCIENCES HERE

VALUE OF THE DIPLOMA

Total value: CLP$1,200,000; (US$1,200 US dollars)

Forms of payment: Cash, installments (up to 4), credit cards and company purchase order.

SCHOLARSHIPS

Scholarship “ALUMNI PUCV”: 30% discount for PUCV graduates.

Scholarship “POSTGRADUATE IN BIOSCIENCES”: 40% discount for Chilean or foreign Master’s or PhD students in disciplines related to Biosciences.

“PUBLIC OFFICIAL” Scholarship: 50% discount for officials of Chilean or foreign public or state institutions.

The scholarships are individual and are not transferable to other people or courses, the scholarships are not cumulative.

COURSE CONTENTS
UNIT 1. REPRODUCABLE RESEARCH AND EXPLORATORY DATA ANALYSIS

Subtopic 1.1.- Reproducible research with R, Rstudio, Rmarkdwon and GitHub.
Subtopic 1.2.- Random variables and probability distributions.
Subtopic 1.3.- Exploratory data analysis.

UNIT 2. STATISTICAL INFERENCE

Subtopic 2.1.- Statistical inference and formulation of hypotheses.
Subtopic 2.2.- Hypothesis contrast tests.
Subtopic 2.3.- Anova, posterior tests.
Subtopic 2.4.- Evaluation of assumptions of parametric tests.
Subtopic 2.6.- Contingency tables.
Subtopic 2.6.- Wilcoxon and Kruskal – Wallis tests.

UNIT 3. LINEAR MODELS AND SURVIVAL ANALYSIS

Subtopic 3.1.- Linear models.
Subtopic 3.2.- Generalized linear models.
Subtopic 3.3.- Mixed models.
Subtopic 3.4.- Survival analysis.
Subtopic 3.5.- Multivariate Analysis Techniques.

REQUIREMENTS FOR THEORETICAL KNOWLEDGE AND PRACTICAL COMPETENCES

Professional degree or bachelor’s degree.

English: The R, Rstudio and Rmarkdown software, as well as all the statistical analysis libraries that will be used in the course, are only available in English. Students without English reading skills should not take the course.

Programming with R: Desirable but not exclusive. Students with no previous R programming experience should consider an additional 4 hours of study and self-study per week in order to achieve an advanced understanding of the course learning objectives.

CERTIFICATION

Certificate of approval of the course will be delivered to students who reach 80% attendance to synchronous classes and satisfactorily complete 80% of the course tasks.