Event price: $ 700,000 COP
Event price: 185 USD
Pay on line: At the time of your registration you can pay online with credit card and PSE.
Payment in banks:
Present the invoice printed in laser, and approach the following banking entities:
- Banco de Bogotá and its banking correspondents: Almacenes Éxito, Carulla, Surtimax, Súper inter.
Go to the University Cashier and pay with a debit or credit card.
Start date: 25-08-2021
End date: 15-10-2021
Duration: 32.00 hours.
Event city: Online
Hours: Wednesday and Friday, from August 25, 2021 to October 15, 2021, from 06:00 a.m. to 08:00 a.m.
Place: zoom class
Event Code: 70112155
To register, you must fill out the form to generate the invoice and make the payment online, banks or in person at the University.
Know the importance of the topics to be addressed during the development of the course
We share the characteristics or requirements that you must meet to be part of this Course
The modality of the event is Virtual Classroom
The shift from analog to digital technology has brought to our society structural changes in the way we interact with our environment, from improvements in communication to entertainment. One of the most important things to highlight about this transition is the ability we have with digital technologies to store information, represented in data. The growth of device internet connectivity, the creation of smartwatches, sensors in cell phones and countless mobile applications have generated information on a scale never before seen in human history. However, all this stored information alone means nothing unless it is organized and prepared in a structured way to be analyzed and draw conclusions from it. In this course you will learn to use the tools that Data Science, Big Data and Business Intelligence provide us and you will be able to create algorithms to model, present and visualize basic and advanced data to use in the different solutions demanded by society and the health sector.
Professionals and students of Engineering, statistics, mathematics and related with an interest in the area of health. Professionals and the general public interested in mastering the tools of data science and its application in health.
Basic knowledge of: Python programming and statistics.
Find out how you can finance your registration in this event.
Find the contents to be treated in the continuing education course
Learn about the skills that you will acquire by taking the Course at our University.
Finance the payment of your registration with SUFI, contact the advisor:
Anderson Esneyder Acevedo Benitez
Telephone: (57) (4) 604 91 25
Mobile: 301 254 98 44
Payment with Severance:
Check with your fund and severance management company about the requirements to make the payment *.
* Applies for diplomas and certifications.
- Unit 1: Data Engineering
- Identify and manipulate tools for extracting information from databases
- Understand conventional database architectures
- Unit 2: Data analysis tools
- Use techniques for the preparation and analysis of different types of data
- Unit 3: Modeling
- Transform data into useful information for decision-making, supported by machine learning and natural language processing
- Identify characteristic patterns in a data set
- Unit 4: Data presentation and advanced visualizations
- Prepare advanced graphs and reports from products derived from data analysis and modeling
Acquire skills, knowledge and fundamentals of data science in health, which will allow you to have a vision about the present and the future of applications in the field of health.
Biomedical Engineer, Data Scientist, researcher and teacher. Graduated with laureate mention for undergraduate research work with phononic crystals. With research work in Biosensors, Bioinstrumentation and Biomedical Signal Processing. Master in Data Science from the AFI University in Madrid-Spain. Winner of the Datatón Bancolombia 2019, second place in IBERLEF competition of humor detection, second place in the DataJam of Free Steps 2020 and 4th place in the Hackathon of Talenta in 2020. Teacher of programming in python and data science. Researcher in artificial vision and machine learning projects in health. 1 and a half years working at the Institute of Knowledge Engineering, a pioneer in data science in Madrid and Spain.
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