A required course in the Python for Data Science, Web and Core Programming Specialized Studies Program.
Course closed to new registrations:
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Python for Data Analysis is a course for students with some experience using Python who want to learn how to import and analyze data using the popular programming language. Students can immediately use what they have learned to ingest data, produce plots and analysis, and fit models. Note that not everything with-in the python language will be covered (such as user interfaces, web services, and object oriented programming). The main python libraries introduced will be numpy, matplotlib, pandas, and scikit-learn. Major topics include: how to import data and manipulate it efficiently using numpy, how to produce plots and data visualizations with matplotlib, how to run statistical analysis using pandas, and how to build predictive models scikit-learn. A final project will help to tie the main concepts together. Additional topics include: how to use eclipse, a very handy development environment! Prerequisites: I&C SCI X426.64 Introduction to Programming with Python; Knowledge of Python programming is required.
Prerequisites: I&C SCI X426.64 Introduction to Programming with Python; Knowledge of Python programming is required.
William J. Henry, M.S., is a scientific programmer at the Navy Research Laboratory in Monterey where he regularly develops data based applications in Python. Previously, at EarthRisk Technologies, he led the development of a neural network ensemble temperature forecast model.
Textbooks for your course may be purchased from any vendor or bookseller of your choice.
No textbooks are required for this course.
|Event||Date||Day||Start Time||End Time||Location||Room
|START||07/12/2021||Monday||---||---||Online (Access Begins)||---
|END||08/15/2021||Sunday||---||---||Online (Access Ends)||---