Introduction to Python for Public Health Data Analysis (CANCELLED) | Brown School at Washington University in St. Louis
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Introduction to Python for Public Health Data Analysis (CANCELLED)

 
15 CEUs/CPH units

This course will introduce students to the fundamentals of the Python language, common Python modules for data manipulation and analysis, and Jupyter notebook environment. The course will begin with how to acquire data from publicly available sources and databases, cleansing and transformation of data, and the creation of descriptive statistics and graphics. The course will
also introduce Python's natural language processing and machine learning modules for basic data classification and predictive modeling applications. Throughout the course, instruction and assignments will promote best practices for creating programs that can be shared and used for reproducible research.

Note: Students taking this class should have experience doing data preparation or data analysis within the last 5 years. This could
be demonstrated through previous work with statisical packages like R, SAS, SPSS, or Stata, or advanced data manipulation and analysis in Excel or Business Intelligence tools such as Tableau or Qlikview. Prior programming experience in Python is not required.


Class size is limited to 15.

$650 General admission
$450 Non-profit/government employees (1st Summer Institute class)
$400 Non-profit/government employees (Additional Summer Institute classes)

This class will include both degree-seeking graduate students and practicing professionals. Individuals registering through Professional Development will receive continuing education units - but not academic credit - for the class.

  • SORRY, THIS CLASS HAS BEEN CANCELLED
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