Offered By: IBM

Data Science in Health Care. Basic prognostication and GEO visualization

Name: Data Science in Health Care. Basic prognostication and GEO visualization
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Author: yaroslav_vyklyuk_2

In this guided project we will study how make predictions based on linear regression, obtain statistics and create interactive maps showing the dynamics of virus spread.

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At a Glance

In this guided project we will study how make predictions based on linear regression, obtain statistics and create interactive maps showing the dynamics of virus spread.

This lab is dedicated to how we can conduct a basic analysis of Big Data on the spread of COVID-19 in the world. We will study how make predictions based on linear regression, obtain statistics and create interactive maps showing the dynamics of virus spread.

Learning Objectives

After completing this lab you will be able to:

Download DataSet from *.csv files

Automatically change data in DataSet

Transform the table

Visualize data with pandas and seaborn

Make foreacast models based on linear regression

Build Interactive Maps

Estimated Effort

1 hours

Level

Language

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Instructors

Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.