DIPLOMA DATA ANALYSIS WITH REPRODUCABLE RE-INVESTIGATION FOR BIOSCIENCES.

AUGUST 29 TO NOVEMBER 30, 2022

DESCRIPTION OF THE DIPLOMA

The Diploma in Data Analysis with R and Reproducible Research for Biosciences provides theoretical and practical skills in modern data science and reproducible research with an emphasis on Biosciences.

During the course, students will develop fundamental skills for the storage, reading, processing, analysis and presentation of 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.

PARTICIPANT PROFILE

Professionals or graduates of Agronomy, Biology, Marine Biology, Biochemistry, Biotechnology, Microbiology, veterinary science 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.

TEACHING TEAM

Jose Gallardo Matus
Doctor in Sciences, mention in Ecology and Evolutionary Biology from the University of Chile.
Professor of genetics and applied genomics at the Pontificia Universidad Católica de Valparaíso.

Maria Angelica Rueda Calderon
PhD in Agricultural Sciences from the National University of Córdoba, Argentina.
Post-doctoral researcher at the Pontifical Catholic University of Valparaíso.

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 prior R programming experience should consider an additional 4 hours of study and self-study per week in order to gain 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.