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所在平台: Udemy |
课程主页: https://www.udemy.com/course/applied-python-pandas/
课程评论：没有评论
课程名称：应用Python Pandas 课程概述：应用Python Pandas是一个关于pandas库的课程，该库用于利用Python编程语言进行数据分析。课程旨在通过解决现实世界中可能遇到的问题来学习使用pandas进行数据分析。课程包含以下几个模块：Pandas概述、数据结构、数据选择与数据过滤、分组、聚合与可视化、时间序列。我们将通过基于场景的示例回答以下问题： - 在Pandas中，Series和DataFrame分别是什么？何时使用它们？ - 如何检查DataFrame的结构？ - 我们可以使用哪些方法总结列的统计属性？ - Pandas中.loc[]、.iloc[]、.at[]和.iat[]的区别是什么？ - 在DataFrame中有哪些不同的方法可以添加新列？ - 在DataFrame中可以通过哪些方式过滤数据？ - 我们如何在Pandas中对数据进行分组和聚合？ - 我们如何在Pandas中进行时间序列分析？ 每个模块都会提供一个场景和一组任务来解决。随着每个任务的解决，我们将学习到pandas库中的新概念。课程中呈现的所有代码和数据均可在GitHub上获取，克隆该git库后将获得练习和解决方案的笔记本，您可以在观看课程视频时跟随练习笔记本进行编码。 这门课程的重点是将我们的学习应用于解决实际问题，无论您是学生、专业人士还是商业人士，此课程都能在短时间内提供足够的知识，使您能够处理所遇到的数据，从而得出洞察并以数据驱动的方法解决实际问题。如果您是数据分析和Python Pandas的新手，您会发现这门课程非常有用，并能给您一个良好的开端。即使您对Python不熟悉，这门课程也很容易跟随。 免责声明：在解决课程中的不同任务时，我们所获得的见解旨在展示如何使用pandas进行数据分析，并不构成商业或金融建议。
Applied Python Pandas is a course on pandas library, which is used for data analysis using python programming language.The intent of this course is to learn data analysis with pandas by solving problems that can be encountered in real world.This course has following lectures.Overview of PandasData StructuresData Selection & Data FilteringGroupby, Aggregation & Visualisation.Time SeriesWe will be answering below questions with scenario based examples.- What is Series and DataFrame in Pandas? When to use them?- How would we inspect the structure of a DataFrame? - What methods would we use to summarize the statistical properties of the columns?- What are the differences between.loc[],.iloc[],.at[] and.iat[] in Pandas?- What are different ways of adding new column to a DataFrame?- What are differently ways of filter data in a DataFrame?- How do we group data and perform aggregations in Pandas?- How do we do times series analysis in Pandas? Each section is presented with a scenario and set of tasks to solve. As we solve each task we shall learn new concepts in pandas library. All the code/data presented in the course is available in GitHub. When you clone the git repository you would get both exercise and solution notebooks. Exercise notebooks can be used for coding along as you watch exercises being solved in the course videos.The focus of this course is to apply our learnings to solve real world issues, whether you are a Student, Professional or Business person this course shall give you enough knowledge in short time to work with data you encounter in your field to derive insights and solve real problems with a data driven approach.If you are new to Data Analysis and Python Pandas you will find this course useful and can provide you a jump start.The course is easy to follow even if you are new to python.Disclaimer: The insights we draw as we solve different tasks in the course are to demonstrate data analysis with pandas, it is not a business or financial advise.
