In “NumPy and Pandas Basics for Future Data Scientists,” learn programming techniques using Python's NumPy and pandas libraries to write efficient and bug-free code for numerical computing.
NumPy and Pandas Basics for Future Data Scientists
您将学到什么
Create and manipulate NumPy arrays, including performing basic arithmetic operations and handling missing data.
Apply advanced NumPy techniques such as broadcasting, masking, and aggregation functions.
Construct and modify pandas DataFrames and Series, use methods to filter and inspect data, and handle missing data.
Utilize pandas for data aggregation, summary statistics, and dataframe merging to analyze a real dataset.
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9个视频3篇阅读材料1个编程作业1个讨论话题2个非评分实验室
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6个视频1个编程作业2个非评分实验室
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8个视频2篇阅读材料1个编程作业2个非评分实验室
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学生评论
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JT
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已于 Mar 25, 2025审阅
This course delivers on the title and covers the basics of NumPy and Pandas.
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