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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-data-analysis-with-python-selecting-subsets-of-data/
课程评论：没有评论
课程名称：使用Python进行数据分析——选择数据子集 课程概述： 使用Python进行数据分析——选择数据子集是针对那些希望完全掌握如何使用pandas进行数据分析的学员设计的。本课程是“使用Python进行数据分析”系列的第二门课程，详细讲解了如何在pandas DataFrame或Series中进行任何类型的子集选择。 课程特色： - 提供超过100个带详细解决方案的练习，以帮助学员进行实战练习。 - 设有免费且具有挑战性的认证考试，供希望验证所学知识的学员。 授课老师： 本课程由专家讲师Ted Petrou授课，他是畅销教材《Pandas Cookbook》和《Master Data Analysis with Python》的作者，具有1100小时以上的数据科学现场教学经验。Ted在正确使用pandas方面非常熟练，并致力于开发最佳实践。课程材料和练习均以Jupyter Notebook的形式提供，方便学员在同一环境中查看笔记、运行代码和编写解决方案。 目标群体： 本课程旨在培养希望在专业环境中精通pandas库进行数据分析的学员。需要注意的是，本课程不涵盖pandas库的所有内容，仅涉及其核心和基础部分。如果您希望快速了解整个pandas库，这门课程可能不适合您。成功使用pandas进行数据分析需要数十小时的实践和深入理解。 系列课程： “使用Python进行数据分析”系列包括以下课程： - Pandas入门 - 使用Pandas选择数据子集 - 重要的Pandas命令 - 使用Pandas对数据进行分组 - 使用Pandas进行时间序列分析 - 使用Pandas清理数据 - 使用Pandas连接数据 - 数据可视化 - 高级Pandas - 探索性数据分析 课程要求： 本课程假设学员没有pandas的先前经验，唯一的先决条件是了解Python的基本知识。
Master Data Analysis with Python - Selecting Subsets of Data targets those who want to completely master doing data analysis with pandas. This is the second course in the Master Data Analysis with Python series and provides extremely detailed coverage of how to do any type of subset selection within a pandas DataFrame or Series.Exercises and a Free Certification ExamOver 100 exercises with detailed solutions are available for you to practice. Additionally, there is a free challenging certification exam offered for those who want to validate their knowledge gained.Expert InstructorThis course is taught by expert instructor Ted Petrou, author of the highly-rated text books Pandas Cookbook and Master Data Analysis with Python. Ted has taught over 1,000 hours of live in-person data science courses that use the pandas library. Pandas is a difficult library to use effectively and is often taught incorrectly with poor practices. Ted is extremely adept at using pandas and is known for developing best practices on how to use the library. All of the material and exercises are written in Jupyter Notebooks available for you to download. This allows you to read the notes, run the code, and write solutions to the exercises all in a single place. Become an ExpertThis course targets those who have an interest in becoming experts and completely mastering the pandas library for data analysis in a professional environment. This course does not cover all of the pandas library, just a small and fundamental portion of it. If you are looking for a brief introduction of the entire pandas library, this course is not it. It takes many dozens of hours, lots of practice, and rigorous understanding to be successful using pandas for data analysis in a professional environment.The Master Data Analysis with Python SeriesSelecting Subsets of Data is second in the Master Data Analysis with Python series which includes the following sequence of courses:Intro to PandasSelecting Subsets of Data with PandasEssential Pandas CommandsGrouping Data with PandasTime Series with PandasCleaning Data with PandasJoining Data with PandasData VisualizationAdvanced PandasExploratory Data AnalysisThis course assumes no previous pandas experience. The only prerequisite knowledge is to understand the fundamentals of Python.
