Applied Data Science with Python Specialization

开始时间: 01/30/2021 持续时间: Unknown

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew



Explore 1600+ online courses from top universities. Join Coursera today to learn data science, programming, business strategy, and more.


第一个写评论        关注课程


The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

具有Python专长的应用数据科学:密歇根大学的这5门专业课程通过python编程语言向学习者介绍数据科学。这种基于技能的专业化课程面向有基本python或编程背景,并希望通过流行的python工具包(例如pandas,matplotlib,scikit-s)应用统计,机器学习,信息可视化,文本分析和社交网络分析技术的学习者。学习,使用nltk和networkx来深入了解其数据。 Python数据科学概论(课程1),应用绘图,制图和绘图;应该按顺序进行该专业中的其他课程,然后优先采用Python中的数据表示(课程2)和Python中的应用机器学习(课程3)。完成这些课程后,可以按照任意顺序学习课程4和5。所有5个人都必须获得证书。


Introduction to Data Science in Python
Applied Plotting, Charting & Data Representation in Python
Applied Machine Learning in Python
Applied Text Mining in Python



密歇根大学的Python数据科学应用专项课程系列(Applied Data Science with Python),这个系列的目标主要是通过Python编程语言介绍数据科学的相关领域,包括应用统计学,机器学习,信息可视化,文本分析和社交网络分析等知识,并结合一些流行的Python工具包进行讲授,例如pandas, matplotlib, scikit-learn, nltk以及networkx等Python工具。感兴趣的同学可以关注:Gain new insights into your data-Learn to apply data science methods and techniques, and acquire analysis skills.


Python Python数据科学 Python社交网络分析 数据科学 Python机器学习 数据可视化 Python数据科学应用 机器学习 Python数据可视化 文本挖掘 Python文本挖掘 社交网络分析