Costa Rica Big Data School
Universidad Nacional, Campus Pérez Zeledón and Tecnológico de Costa Rica, San Carlos
The Costa Rica National Research and Education Network: RedCONARE and the Costa Rica National High Technology Center (CeNAT) are proud to host the second Costa Rica Big Data School.
The main goal of this event is training students, teachers, and researchers of the Costa Rica Public Education System in main Big Data topics Python, Hadoop, Spark, Data Analytics, Data Visualization, Machine and, Deep Learning, and more.
Big Data is a well-known term in computer science due to its wide application and the maturity of the tools and techniques developed in the area. That’s why we decided to host the school of Big Data in Costa Rica, free of charge for those involved in the educational public system. We hope you enjoy what we have prepared, and take full advantage of this exciting event.
Ing. Carlos Gamboa Venegas
RedCONARE Scientific Coordinator
Costa Rica Big Data School Chair
This year, we have the pleasure to announce the Costa Rica Big Data School will take place in two important regions of the country: Pérez Zeledón and San Carlos.
Both events will be focused on big data topics and tools. Addressed to students and researches from the regional sites, local government, and local industry.
Universidad Nacional, Sede Región Brunca, Campus Pérez Zeledón
San Isidro del General, San José
Tecnológico de Costa Rica, Sede San Carlos
Santa Clara de San Carlos, Alajuela
Invited Instructors to be defined
Mariana Cubero. B.S.
Biography: Mariana Cubero is responsible for the Data Science unit at the Advanced Computing Laboratory of the Costa Rica National High Technology Center (CeNAT). She obtained a bachelor’s degree in Statistics from the University of Costa Rica.
Mariana’s main research interests are urban mobility, data analysis, and big data. Most of her work is oriented to data-driven research for social sciences and population dynamics.
Carlos Gamboa, B.E.
Biography: Scientific Coordinator of RedCONARE, the National Research and Education Network. Professor at the Costa Rica Institute of Technology. Instructor of Workshops for Statistical Analysis and Visualization with R. Coordinator of FEES projects related to Big Data. Master Student of Computer Science at ITCR. Interest o Research on Data Science, Big Data and Bioinformatics.
|DAY & TIME||Day 1||Day 2||Day 3|
|7:30 – 8:00||Registry|
|8:30 – 10:00||Inauguration
Introduction to Python and Big Data
|Python – Model analysis||Hadoop to Spark
(pros & cons)
|10:00 – 10:30||Recess|
|10:30 – 12:00||Python – Numpy||Python – Practice Session||Big Data Analysis with PySpark|
|12:00 – 13:00||Lunch|
|13:30 – 15:00||Python – Pandas||Hadoop HDFS||PySpark RDD, MapReduce|
|15:00 – 15:30||Recess|
|15:30 – 17:00||Python Visualization (Seaborn, Matplotlib)||Hadoop MapReduce||PySpark and MLlib|
Opening date to be defined
RedCONARE is the Costa Rica National Research and Education Network (NREN). It provides technical infrastructure and communication services like eduroam, Mconf, LA Referencia, and the Colaboratorio, among others. The NRENs or Advanced Networks are common spaces that the universities research community has among the world to enhance their knowledge and contributions to humanity. In Costa Rica, RedCONARE has been positioning as a research space and join collaboration among its members.
The Advanced Computing Laboratory (CNCA) at Costa Rica High Technology Center (CeNAT) is a multidisciplinary space where scientific discovery is accelerated through an advanced computing infrastructure. This infrastructure includes not only specialized and updated hardware, but also a set of efficient applications and well-trained staff in order to take advantage of all the technology. This allows CNCA to work in the main dimensions of research, project development, training, and services provision.