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Subject name: Programming for Data Analysis and Visualization |
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In this course, students will learn basic techniques for analyzing data, visualizing data clearly, and consolidating theoretical knowledge with practical assignments. These include 1) gaining the basic concepts needed to analyze and visualize data (Analytics, Statistics, Probability) and 2) analyzing and visualizing data on directories and applications such as Phyton, NumPy, Pandas, Matplotlib, and D3js.
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