Offered By: IBM
Data Science in Health Care. Basic prognostication and GEO visualization
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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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