用Python玩转数据 Data Processing Using Python from Coursera

本课程 (Please click https://www.coursera.org/learn/python-data-processing for English version) 主要面向非计算机专业学生，从Python基本语法开始，到Python中如何从本地和网络上进行数据获取，如何解析和表示数据，再到如何利用Python开源生态系统SciPy对数据进行基础和高级的统计分析及可视化，包括数据探索和预处理的具体方法，到最后如何设计一个简单的GUI界面来表示和处理数据，层层推进。

整个课程以财经数据为基础，通过构建一个个喜闻乐见的案例，让大家可以以更直观的方式领略Python的简洁、优雅和健壮，同时探讨Python除了在商业领域之外在文学、社会学和新闻等人文社科类领域以及在数学和生物等理工类领域同样拥有便捷高效的数据处理能力，并可以触类旁通将其灵活应用于各专业中。

近期（2019年11月6日已更新完毕）本课程进行了全面改版，新版主要在以下几个方面做了改变：

1. 丰富了Python基础的案例实际操作和讲解；

2. 增加和扩展了如NumPy包的矢量运算和广播思想及常见应用，数据探索与预处理的多个环节，基于pandas的数据分析及数据挖掘案例等。

近期（2019年11月6日已更新完毕）本课程进行了全面改版，新版主要在以下几个方面做了改变：

1. 丰富了Python基础的案例实际操作和讲解；

2. 增加和扩展了如NumPy包的矢量运算和广播思想及常见应用，数据探索与预处理的多个环节，基于pandas的数据分析及数据挖掘案例等。

有些是直接在原视频上修改，有些是以拓展视频的方式呈现，特别是新录制的视频因为想说的内容很多所以时长较长，很多都超过了20分钟，小伙伴们学习时可能会比较辛苦，加油加油！

What's inside

Syllabus

欢迎学习《用Python玩转数据》Welcome

欢迎你学习《用Python玩转数据》( (Please click https://www.coursera.org/learn/python-data-processing for English version))这门课程，本课程将尽量用非计算机专业的小伙伴们能听得懂的方式来讲述如何利用Python这种简单易学的程序设计语言方便快捷地获取数据、表示数据、分析数据和展示数据，基于科学计算与数据分析的SciPy库和与网络爬虫相关的Requests、Beautiful Soup库等，通过多个案例让大家轻松愉快地学会用Python玩转各领域数据。相信《用Python玩转数据》是一门可以让你不再害怕数据处理的计算机程序设计课，大壮老师期待你的加入！

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

了解从基本语法到数据分析处理的 Python 入门知识

针对非计算机专业学生，内容易懂且循序渐进

提供基础和高级的统计分析及数据可视化方法

使用真实财经案例，让学习更加直观

强调 Python 在金融领域和人文社科及理工领域的广泛适用性

课程内容于 2019 年 11 月全面更新

Reviews summary

用python处理数据入门与实践

根据学习者反馈，本课程“用Python玩转数据”是一门面向非计算机专业学生的高质量入门课程。课程从基础的Python语法讲起，逐步深入到数据获取、表示和分析。许多学生高度评价了大壮老师的教学风格，认为他讲解清晰易懂，并且课程案例，特别是财经数据案例，非常实用，能帮助他们快速上手将所学应用于实际。课程更新后（2019年11月），增加了更多NumPy和pandas的实践内容，使课程内容更加丰富，紧跟数据处理趋势。不过，部分学生认为后期涉及SciPy和数据挖掘的部分难度有所增加，可能需要投入更多时间或结合其他资源学习。总体而言，这是一门基础扎实、实践性强的Python数据处理入门课程。

课程结构合理，层层递进。

"课程安排从基础到进阶，逻辑清晰。"

"模块划分合理，学习路径很明确。"

"课程内容层层递进，适合系统学习。"

"整个课程的结构设计得很好。"

2019年更新后内容更丰富，增加了新内容。

"课程更新了，加入了pandas和numpy的新内容，感觉更全面了。"

"更新后的课程增加了更多实操案例，感觉很棒。"

"看了更新后的视频，内容比之前丰富了很多，尤其是数据分析部分。"

"老师一直在完善课程，这点非常赞！"

"感觉更新后的课程内容更加与时俱进了。"

Python基础讲解扎实，适合初学者。

"对于零基础的人来说，Python基础部分讲得很详细到位。"

"Python基础模块讲解得很清楚，让我这个小白也能跟上。"

"课程从最基础的语法开始，非常适合没有编程背景的人。"

"基础部分的内容很棒，为后续学习打下了坚实的基础。"

案例贴近实际，特别是财经案例，帮助理解。

"课程内容实用性高，财经数据案例非常贴合实际需求。"

"案例都很经典，易于理解和模仿。"

"结合财经数据来讲，很接地气，学起来不枯燥。"

"我很喜欢课程中使用的案例，可以直接应用于我的工作中。"

"课程通过实际案例教学，让我对数据处理有了直观感受。"

讲师讲解清晰、有耐心，深受好评。

"大壮老师讲课真的非常有耐心，而且非常清楚。"

"大壮老师讲的特别好，对小白很友好。"

"老师讲得很棒，对数据处理的认识很清晰。"

"老师很棒！视频很清晰，案例也通俗易懂。"

"感谢大壮老师，讲得深入浅出，受益匪浅。"

部分高级模块难度增加，需要额外学习。

"到了SciPy和数据挖掘部分，感觉难度突然上来了，需要自己多查资料。"

"后面的内容有点赶，如果能再慢一点或者增加一些练习就好了。"

"高级内容讲得相对概要，更深入的应用需要自己探索。"

"数据挖掘和GUI部分理解起来稍微有点吃力。"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 用Python玩转数据 Data Processing Using Python with these activities:

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Career center

Learners who complete 用Python玩转数据 Data Processing Using Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are in demand across a wide range of industries and sectors. This course helps build a foundation for a career in data analysis. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Data Analysts, who use programming to collect, clean, and analyze data to identify trends and patterns.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course provides a strong foundation for a career in data science. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Data Scientists, who use programming to develop and apply mathematical and statistical models to solve business problems.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design, build, and maintain the infrastructure and systems that store and process data. This course provides a strong foundation for a career in data engineering. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Data Engineers, who use programming to design and build data pipelines and data warehouses.

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Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models to solve business problems. This course provides a strong foundation for a career in machine learning engineering. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Machine Learning Engineers, who use programming to develop and deploy machine learning models.

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Software Engineer

Software Engineers design, develop, test, and maintain software systems. This course provides a strong foundation for a career in software engineering. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Software Engineers, who use programming to develop and maintain software applications.

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Data Architect

Data Architects design and implement data management solutions. This course provides a strong foundation for a career in data architecture. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Data Architects, who use programming to design and implement data models and data integration solutions.

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Business Analyst

Business Analysts use data to solve business problems. This course provides a strong foundation for a career in business analysis. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Business Analysts, who use programming to analyze data and make recommendations to improve business performance.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course provides a strong foundation for a career in quantitative analysis. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Quantitative Analysts, who use programming to develop and apply mathematical and statistical models to financial data.

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Financial Analyst

Financial Analysts analyze financial data to make investment recommendations. This course provides a strong foundation for a career in financial analysis. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Financial Analysts, who use programming to analyze financial data and make investment recommendations.

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Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. This course provides a strong foundation for a career in actuarial science. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Actuaries, who use programming to develop and apply mathematical and statistical models to assess risk and uncertainty.

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Statistician

Statisticians use mathematical and statistical models to collect, analyze, interpret, and present data. This course provides a strong foundation for a career in statistics. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Statisticians, who use programming to develop and apply mathematical and statistical models to data.

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Data Visualization Engineer

Data Visualization Engineers design and develop data visualizations. This course provides a strong foundation for a career in data visualization engineering. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Data Visualization Engineers, who use programming to develop and implement data visualizations.

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Data Science Manager

Data Science Managers lead teams of data scientists and engineers. This course provides a strong foundation for a career in data science management. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Data Science Managers, who use programming to manage teams of data scientists and engineers.

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Director of Data Science

Directors of Data Science lead data science teams and initiatives. This course provides a strong foundation for a career in data science leadership. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Directors of Data Science, who use programming to lead teams of data scientists and engineers and to develop and implement data science strategies.

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Research Analyst

Research Analysts conduct research and analysis to provide insights to clients. This course provides a strong foundation for a career in research analysis. It teaches the basics of Python programming, data acquisition and presentation, data statistics and mining, and object orientation and graphical user interface. These skills are essential for Research Analysts, who use programming to collect and analyze data and to write reports and presentations.

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