Data Science in Health Care. Basic statistical analysis.

ELISA is a commonly used laboratory test to detect antibodies in the blood. An antibody is a protein produced by the body's immune system when it detects harmful substances, called antigens. In this project you will learn how to download, prepare and make statistical analysis of ELISA tests and collected information about IgG and IgM, vaccination influenza, vaccination tuberculosis and other diseases and blood groups.

Guided Project

Artificial Intelligence

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At a Glance

Name: Data Science in Health Care. Basic statistical analysis.
Price: Free CAD
Rating: 4.5 (211 reviews)
Author: yaroslav_vyklyuk_2, kateryna_hazdiuk

This project will give you a practical introduction to basics of analyzing ELISA test data using readily available data science tools. You will download a real ELISA dataset, prepare it for statistical analysis, and analysis of information about IgG and IgM antibodies as they apply to the influenza and tuberculosis vaccination.

Learning Objectives

After completing this project you will be able to:

Download test datasets (Excel files .xlsx) to use them in Python
Automatically clean and prepare data in dataset
Transform the table
Visualize data with Pandas and Seaborn, two very popular data analysis and visualization libraries

You will be able to create basic statistical analysis of the ELISA data deriving:

Minimum and maximum values
Averages
Quarters
and create pivot tables

Offered By: IBM

Data Science in Health Care. Basic statistical analysis.

At a Glance

Learning Objectives

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