Detailed Course Information |
Fall 2021
Apr 19,2024 |
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| DATA 301 - DATA ANALYSIS & VISUALIZATION |
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This course introduces students to data visualization techniques commonly used in Data Science and Analytics. Students will learn the principles of presenting data to effectively communicate data-driven findings, using 2D and 3D charts, graphs, and more complex visualization methods. Students will learn to use Python, including NumPy, SciPy, Pandas, Matplotlih, and Plotly to apply these principles to existing
data sets.
0.000 TO 4.000 Credit hours 0.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course Data Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: FOR DATA 301 General Requirements: ( Course or Test: CMPS 240 Minimum Grade of D May not be taken concurrently. ) |
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