This course introduces students to the basics of the Python programming language, using the open-source libraries Numpy, Seaborn, and Matplotlib to explain key concepts in data visualization and reporting. Topics include concepts and methods used in graphical representation of data, exploration and reporting of data, and basic linear regression methods. Upon completion, students should be able to effectively use graphical tools to communicate insights about data.
Course Outcomes
Students will:
Learn the basics of the Python programming language.
Utilize concepts and methods in the graphical representation of data.
Utilize concepts and methods in the exploration and reporting of data.
Conduct basic linear regression methods.
Apply data visualization concepts to communicate insights about data.
Prerequisite(s): Data Analytics 120
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