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About the Course
About the Course
This course explores the field of data science and how it relates to machine learning and artificial intelligence. Students will use real-world data to answer research questions and machine learning models to make predictions about the data. Topics will include the collection, cleaning, and manipulation of data. Students will also learn how artificial intelligence models intersect with data science and explore real-world examples. Software Engineering (EPIC) is the recommended prerequisite.
For more information about credits, view the course catalog.
What You'll Do
What You'll Do
Learn the fundamentals of the data science process including: cleaning, analyzing, modeling, and visualizing data
Create predictive models using machine learning algorithms
Make connections to artificial intelligence, understand how these models are created, and investigate the ways they are used in our world today
Use industry standard tools and Python libraries like Numpy, Pandas, and Scikit-learn
Make connections to other disciplines like biology, chemistry, business, etc.
Meet Your Instructor
Meet Your Instructor
Gwyneth Ormes
Gwyneth Ormes
Hi all! I am so excited to work with you all in Pi's and Python this semester. If you have any questions for me, the best way to get in touch with me is by email: gormes@lps.k12.co.us
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