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.
4.5 (169 Reviews)
Language
- English
Topic
- Data Analysis
Industries
- Healthcare
Enrollment Count
- 2.41K
Skills You Will Learn
- Data Science, Machine Learning, Artificial Intelligence
Offered By
- IBM
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- May 17, 2024
Learning Objectives
- 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
- Minimum and maximum values
- Averages
- Quarters
- and create pivot tables
Language
- English
Topic
- Data Analysis
Industries
- Healthcare
Enrollment Count
- 2.41K
Skills You Will Learn
- Data Science, Machine Learning, Artificial Intelligence
Offered By
- IBM
Estimated Effort
- 30 minutes
Platform
- SkillsNetwork
Last Update
- May 17, 2024
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.
Read moreKateryna Hazdiuk
PhD of Software Engineering
I am an assistant professor at the Yuriy Fedcovych Chernivtsi National University, Software of Computer Systems Department; an author of over 40 scientific works and 10 training manuals. Research Interests: Mathematical Modeling of Complex Dynamic Systems (bio-like systems, socio-economic, geographical systems), Data Science, Decision Making using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, and other methods.
Read more