University of Calgary
DATA 601 - Working with Data and Visualization - Winter 2024
An introduction to fundamental data science concepts including basic data organization, data collection, and data cleaning. Provides a review of basic programming concepts in Python, as well as an introduction to problem-solving concepts including algorithmic complexity, recursion, vectorization, and regular expressions. Covers the fundamentals of data visualization and critical thinking.
This course may not be repeated for credit.
This course may not be repeated for credit.
Hours
- H(3-0)
Prerequisite(s)
- Admission to the Graduate Certificate in Fundamental Data Science and Analytics, or the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.
Sections
LEC 1 TR 17:00 - 19:45 Notes:
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