Name: Med Tech Today: How Data Science is Changing Healthcare [Live-Online]
Start: 2021-07-29T20:30:00-04:00
End: 2021-07-29T21:30:00-04:00

Join Galvanize for an evening lecture breaking down the contemporary uses of data science and machine learning in the healthcare industry.

**You must RSVP on Eventbrite to receive Zoom link and updates on this event**.
https://www.eventbrite.com/e/med-tech-today-how-data-science-is-changing-healthcare-live-online-tickets-158308552141

About this event

Join Galvanize for an evening lecture on data science applications in healthcare. This lecture is a research based investigation into subfields of healthcare analytics and biotechnology, with contemporary case-studies highlighting machine-learning based improvements.

Topics covered include:

Health system management
Pre/post-care Monitoring
Diagnosis and Treatment
Wearable Sensors
Drug Discovery

We will discuss these topics as well as have a period at the end of the lecture for further discussion.

Target Audience:

This discussion is geared towards current healthcare analytics, engineering, biology or other professionals thinking about a technology pivot into the wonderful field of data science and machine learning.

How to Prepare:

- Install Google Chrome (any modern browser should work): https://www.google.com/chrome/browser/desktop/

- Sign up for a Google account if you don't already have one (we will be using slides presented through google slides)

- Have the Zoom Client for Video Meetings installed well before the webinar begins: https://zoom.us/download

- Any other relevant information and download requirements before the event

Taught live online:

- 1 Hours – 5:30pm - 6:30pm Pacific Time

- Link to join the workshop will be provided to you once you RSVP.

**You must RSVP on Eventbrite to receive Zoom link and updates on this event**.
https://www.eventbrite.com/e/med-tech-today-how-data-science-is-changing-healthcare-live-online-tickets-158308552141

About Your Instructor:

Connor Slagle

I am a data scientist with a fondness for biotechnology, with degrees in both chemical and environmental engineering. Recent advances in data science are revolutionizing all aspects of contemporary business, from product refinement to customer identification; In no field is this as evident (or as exciting) as in biotechnology.

I’m focused on leveraging these skills to improve targeted, non-invasive drug delivery in oncology. Additionally, I love spreading my understanding of machine learning concepts through evangelism at Galvanize.

To learn more about our Data Science immersive program, visit https://www.galvanize.com/data-science-bootcamp

About Galvanize:

Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each of the following:

Education - part-time and full-time training in web development, data science, and data engineering

Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth

Networking - events in the tech industry happen constantly on our campuses, ranging from popular Meetups to multi-day international conferences

To learn more about Galvanize, visit https://www.galvanize.com/
Data Science Bootcamp: https://www.galvanize.com/data-science-bootcamp
Software Engineering Bootcamp: https://www.galvanize.com/web-development
Contact Admissions: https://admissions.galvanize.com/

Adriana Vargas

New York Data Science

Technology

Data Science using Python

Applied Statistics

Data Science

Data Mining

Predictive Analytics

Data Visualization

Data Analytics

Machine Learning

Big Data

Science

Python

Computer Programming

Machine Learning with Python

Artificial Intelligence

Med Tech Today: How Data Science is Changing Healthcare [Live-Online]

Online event

共有

New York Data Science

Med Tech Today: How Data Science is Changing Healthcare [Live-Online]

New York Data Science

詳細

メンバーは以下の興味/トピックにも関心があります