By completing this course, learners will be able to analyze datasets using NumPy and Pandas, perform efficient numerical operations, reshape and clean data, handle missing values, and apply end-to-end data analysis workflows on real-world datasets. The course begins with the foundations of NumPy, focusing on array structures, memory optimization, and statistical operations. It then transitions into Pandas, guiding learners through creating DataFrames, performing joins, pivots, and unpivots, as well as exploring, sorting, and cleaning data. Finally, learners will advance to practical applications, mastering aggregation, filtering, and conditional operations before applying these skills to real-world projects like the Wine dataset.
NumPy & Pandas: Analyze & Transform Data
NumPy & Pandas: Analyze & Transform Data
本课程是 Data Analysis with NumPy and Pandas 专项课程 的一部分
位教师：EDUCBA
包含在 中
您将学到什么
Perform numerical operations and memory optimization with NumPy.
Create, join, pivot, and clean Pandas DataFrames effectively.
Apply aggregation, filtering, and workflows on real datasets.
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要了解的详细信息
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最近已更新！
October 2025
作业
13 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Data Analysis with NumPy and Pandas 专项课程 专项课程的一部分
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该课程共有3个模块
This module introduces learners to the fundamentals of NumPy, including its advantages over Python lists, array structures, and efficient operations. Learners will explore slicing, reshaping, statistical calculations, and concatenation to build a solid foundation in numerical computing.
涵盖的内容
11个视频4个作业
This module guides learners through Pandas, covering how to create DataFrames, perform joins, reshape data, and explore datasets. Learners will also practice cleaning, renaming, and dropping variables, equipping them with skills for effective data preparation.
涵盖的内容
17个视频5个作业
This module focuses on advanced Pandas features such as grouping, filtering, and handling missing values. Learners will also explore real-world data analysis workflows, including importing datasets, applying conditions, and working with practical case studies like the Wine dataset.
涵盖的内容
13个视频4个作业
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