课程信息
4.5
8,398 个评分
2,111 个审阅
专项课程

第 1 门课程(共 5 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为18 小时

建议:6 hours/week...
可选语言

英语(English)

字幕:英语(English), 中文(繁体), 巴西葡萄牙语, 越南语, 韩语, 希伯来语...

您将学到的内容有

  • Check

    Describe common Python functionality and features used for data science

  • Check

    Explain distributions, sampling, and t-tests

  • Check

    Query DataFrame structures for cleaning and processing

  • Check

    Understand techniques such as lambdas and manipulating csv files

您将获得的技能

Python ProgrammingNumpyPandasData Cleansing
专项课程

第 1 门课程(共 5 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为18 小时

建议:6 hours/week...
可选语言

英语(English)

字幕:英语(English), 中文(繁体), 巴西葡萄牙语, 越南语, 韩语, 希伯来语...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 3 小时

Week 1

In this week you'll get an introduction to the field of data science, review common Python functionality and features which data scientists use, and be introduced to the Coursera Jupyter Notebook for the lectures. All of the course information on grading, prerequisites, and expectations are on the course syllabus, and you can find more information about the Jupyter Notebooks on our Course Resources page....
Reading
11 个视频 (总计 58 分钟), 4 个阅读材料, 1 个测验
Video11 个视频
Data Science7分钟
The Coursera Jupyter Notebook System3分钟
Python Functions8分钟
Python Types and Sequences8分钟
Python More on Strings3分钟
Python Demonstration: Reading and Writing CSV files3分钟
Python Dates and Times2分钟
Advanced Python Objects, map()5分钟
Advanced Python Lambda and List Comprehensions2分钟
Advanced Python Demonstration: The Numerical Python Library (NumPy)7分钟
Reading4 个阅读材料
Syllabus10分钟
Help us learn more about you!10分钟
50 years of Data Science, David Donoho (optional)30分钟
Notice for Auditing Learners: Assignment Submission10分钟
Quiz1 个练习
Week One Quiz12分钟
2
完成时间(小时)
完成时间为 3 小时

Week 2

In this week of the course you'll learn the fundamentals of one of the most important toolkits Python has for data cleaning and processing -- pandas. You'll learn how to read in data into DataFrame structures, how to query these structures, and the details about such structures are indexed. The module ends with a programming assignment and a discussion question....
Reading
8 个视频 (总计 45 分钟), 2 个测验
Video8 个视频
The Series Data Structure4分钟
Querying a Series8分钟
The DataFrame Data Structure7分钟
DataFrame Indexing and Loading5分钟
Querying a DataFrame5分钟
Indexing Dataframes5分钟
Missing Values4分钟
3
完成时间(小时)
完成时间为 3 小时

Week 3

In this week you'll deepen your understanding of the python pandas library by learning how to merge DataFrames, generate summary tables, group data into logical pieces, and manipulate dates. We'll also refresh your understanding of scales of data, and discuss issues with creating metrics for analysis. The week ends with a more significant programming assignment....
Reading
6 个视频 (总计 35 分钟), 1 个测验
Video6 个视频
Pandas Idioms6分钟
Group by6分钟
Scales7分钟
Pivot Tables2分钟
Date Functionality5分钟
4
完成时间(小时)
完成时间为 6 小时

Week 4

In this week of the course you'll be introduced to a variety of statistical techniques such a distributions, sampling and t-tests. The majority of the week will be dedicated to your course project, where you'll engage in a real-world data cleaning activity and provide evidence for (or against!) a given hypothesis. This project is suitable for a data science portfolio, and will test your knowledge of cleaning, merging, manipulating, and test for significance in data. The week ends with two discussions of science and the rise of the fourth paradigm -- data driven discovery....
Reading
4 个视频 (总计 25 分钟), 1 个阅读材料, 2 个测验
Video4 个视频
Distributions4分钟
More Distributions8分钟
Hypothesis Testing in Python10分钟
Reading1 个阅读材料
Post-course Survey10分钟
4.5
2,111 个审阅Chevron Right
职业方向

34%

完成这些课程后已开始新的职业生涯
工作福利

34%

通过此课程获得实实在在的工作福利
职业晋升

11%

加薪或升职

热门审阅

创建者 AUDec 10th 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

创建者 SIMar 16th 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

关于 University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

关于 Applied Data Science with Python 专项课程

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....
Applied Data Science with Python

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