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Data Analysis will focus on extracting knowledge from data to solve problems across several domains. Over the semester, students will construct projects from various data sets: census, movie and video game ratings, music, and more. Students will learn to load, clean, transform, and visualize data to find patterns, build reports, and communicate results. All programming will be done in Python.
Topics covered will include:
Pandas data structures
Retrieving data using APIs
Data cleaning, wrangling
Visualization
Bar charts
Heat maps
Grouping, aggregating, and sorting
Data cleaning
This course serves as a foundation and prerequisite for future data science courses.
This course has weekly 2-hour sessions,
exclusively online
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Used to categorize courses in the shop. (winter, summer, spring, online, python, unity, web, cs, robotics, data, competitive)
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