Methods of Research and Data Analysis with Python

This course was born as an initiative of the University of Azuay through International Research Networks (IReNE) in partnership with the University of Pittsburgh, its purpose is to provide our teachers and researchers with computational methods that allow them to validate and corroborate large amounts of data for the development of their investigations.

Objectives

• Extract and interpret useful information from large amounts of data.
• Apply appropriate data analysis methods for different types of applications.
• Use resources for data analysis provided by Python and its specialized packages.
• Familiarize the participants with learning techniques, classification and clustering
• Use effective data visualization techniques.
• Prepare participants to address (in subsequent courses) data mining issues and machine learning

Course methodology

The course will be theoretical-practical so the participant requires the software and a laptop of his own. There will be individual readings, and developments of individual and group exercises.

50 hours

Approval requirements:

Global evaluation equal to or greater than 70%.

Minimum attendance of 80% of face-to-face classes.

Minimum assistance of the 80% to the virtual platform.

Teachers, researchers and professionals interested in the subject, whose research areas require validation and corroboration of large amounts of data through computational methods.

Marcerla Gomez, PhD

Pedro Bstamante, MSc

The University of Azuay sponsors the 100% of the value of the course to its teachers and researchers and administrative staff, subject to its approval.

Students University of Azuay: $ 80,00 -Code for payment in 1160 treasury

External personnel: Professionals, teachers, students: $ 160,00 -Code for payment in treasury 1159

Ing. Miriam Briones García: formacion.continua@uazuay.edu.ec