Online Program

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Thursday, May 30
Reimagining & Introducing New Pedagogy
Thu, May 30, 10:30 AM - 12:05 PM
Regency Ballroom C


Istoni DaLuz, Biostatistics Department – Medical Science School – University of Puerto Rico 
Carlos Ortiz, OIRE – Medical Science School – University of Puerto Rico 
*Abiel Roche-Lima, RCMI-Medical Science School - University of Puerto Rico 

Keywords: Data science certification, statistics, machine learning

The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. A data science course certification for Spanish speakers was prepared to teach the fundamental concepts of data science that allow to collect, prepare, analyze, model and visualize data. It also discusses the use of tools such as Python, R and Machine Learning to apply the knowledge in health, research, finance, marketing, industry and others. This course is designed for beginners with or without experience in statistics or programming, coming from different disciplines or sectors, including graduate students, professors, health professionals, industry, government, finance, marketing, business and anyone interested in the field of Data Science. The course will cover the basic aspects of data science, data preparation, data visualization, modeling data and data presentation. The course is divided into two (2) components, depending on the interest of the participant. The first component is a conceptual introduction to the ideas behind converting the data into actionable knowledge. The course is designed to be offered online and at the participant's pace. The second component includes sessions 1 to 4 (Total 40 hours) as part of the complete Professional Certificate in Data Science. The student must first complete component 1 to continue with component 2. The course is designed to be offered online and at students’ own time. The evaluations in this course are graded. All the course material is in English language, but the videos/tutorials are in Spanish. Faculty expertise includes areas such as databases, programming, statistics and machine learning. Session are organized by weeks with lectures, exercises, readings and evaluation. A first group has a total of 126 students from different areas such as Computer Science, Health Science, Finances, Retails, ad so on.