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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/data-science-python
课程评论：没有评论
课程名称：Python应用数据科学专业 概述：密歇根大学提供的这5门课程专门面向希望通过Python编程语言了解数据科学的学习者。此技能导向的专业化课程适合具有基本Python或编程背景的学习者，旨在应用统计学、机器学习、信息可视化、文本分析和社交网络分析等技术，利用流行的Python工具库（如pandas、matplotlib、scikit-learn、nltk和networkx）深入分析数据。 课程安排：第一门课程《Python数据科学概论》、第二门课程《应用绘图、制图和数据表示》与第三门课程《Python中的应用机器学习》需按顺序学习，并在学习专业的其他课程之前完成。完成这三门课程后，第四和第五门课程可按任意顺序学习。获得证书必须完成所有五门课程。 课程信息： 1. **Python数据科学概论**：介绍Python编程环境的基础知识。 [课程链接](https://www.coursera.org/learn/python-data-analysis) 2. **应用绘图、制图和数据表示**：集中于信息可视化的基础知识，强调报告和数据展示。 [课程链接](https://www.coursera.org/learn/python-plotting) 3. **Python中的应用机器学习**：聚焦于应用机器学习的技术及其实践。 [课程链接](https://www.coursera.org/learn/python-machine-learning) 4. **Python中的应用文本挖掘**：介绍文本挖掘和文本处理的基础知识。 [课程链接](https://www.coursera.org/learn/python-text-mining) 5. **Python中的应用社交网络分析**：通过NetworkX库的教程介绍网络分析。 [课程链接](https://www.coursera.org/learn/python-social-network-analysis) 通过完成本专业课程，学习者将能够掌握数据科学的重要技术，并应用于实际数据分析中。
Course Link: https://www.coursera.org/learn/python-data-analysis
Name:Introduction to Data Science in Python
Description:Offered by University of Michigan. This course will introduce the learner to the basics of the python programming environment, including ... Enroll for free.
Course Link: https://www.coursera.org/learn/python-plotting
Name:Applied Plotting, Charting & Data Representation in Python
Description:Offered by University of Michigan. This course will introduce the learner to information visualization basics, with a focus on reporting and ... Enroll for free.
Course Link: https://www.coursera.org/learn/python-machine-learning
Name:Applied Machine Learning in Python
Description:Offered by University of Michigan. This course will introduce the learner to applied machine learning, focusing more on the techniques and ... Enroll for free.
Course Link: https://www.coursera.org/learn/python-text-mining
Name:Applied Text Mining in Python
Description:Offered by University of Michigan. This course will introduce the learner to text mining and text manipulation basics. The course begins ... Enroll for free.
Course Link: https://www.coursera.org/learn/python-social-network-analysis
Name:Applied Social Network Analysis in Python
Description:Offered by University of Michigan. This course will introduce the learner to network analysis through tutorials using the NetworkX library. ... Enroll for free.
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。
