This course will teach how to handle data using exploratory strategies. These strategies are often used prior to the start of formal modeling and can aid in the construction of more complex statistical models. Exploratory procedures are also useful for modifying various type of data for prediction, classification, recommendation algorithms. We’ll go through the plotting systems in Python in depth, as well as some of the fundamental ideas of data visualization. We’ll also implement some of the most common multivariate statistical approaches for visualizing data with a lot of dimensions.

Learning Outcomes of this Course:

After completion of this course participants are expected to be able to:

• learn about the related tools and techniques the Data Analytics in Health.
• know about basic Python programming and libraries.
• Use basic data analysis techniques.
• Implement basic algorithms using processed data.

This course has been developed with the support of the Commonwealth of learning, Canada