This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.
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课程信息
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100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 4 门）
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初级
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
完成时间大约为17 小时
英语（English）
字幕：英语（English）
您将学到的内容有
Apply basic data science techniques using Python
Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib
Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data
Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization
您将获得的技能
Data SciencePython LibrariesPython ProgrammingData AnalysisData Visualization (DataViz)
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 4 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
完成时间大约为17 小时
英语（English）
字幕：英语（English）
提供方
宾夕法尼亚大学
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
教学大纲 - 您将从这门课程中学到什么
完成时间为 6 小时
Module 1 : Loading, Querying, & Filtering Data Using the csv Module
This first module provides students with an overview of loading, inspecting, and exploring data using Python's simple csv library. To get started, this module includes a brief overview of Jupyter Notebook and a concise review of basic Python, including data structures, loops, and functions. This module showcases to the students an in-depth analysis of data stored in a .csv file, including basic querying, approaches for dealing with data errors, and how to filter and sort data based on a variety of criteria.
完成时间为 6 小时
8 个视频 （总计 31 分钟）, 9 个阅读材料, 3 个测验
完成时间为 5 小时
Module 2 : Loading, Querying, Joining & Filtering Data Using pandas
In this module, students are introduced to core concepts like the Data Frame and joining data. Students will get experience using pandas, an industry-standard data analysis library, to load and query real-world data and to answer questions about that data. This module demonstrates how to do advanced filtering and indexing, slice subsets of data, restrict data attributes in query results, and do basic computations over the data. Includes how to build a simple recommendation system, and approaches for cleaning data, dealing with missing values, and creating new data.
完成时间为 5 小时
14 个视频 （总计 31 分钟）, 5 个阅读材料, 4 个测验
完成时间为 5 小时
Module 3 : Summarizing & Visualizing Data
This module takes data analysis a step further by providing an overview of the process of aggregating, summarizing, and visualizing data. Students are introduced to the concept of grouping and indexing data, and how to display results in a pivot table using pandas. This module also demonstrates how to prepare and visualize data using a histogram and scatterplot in Jupyter Notebook. Students will gain skills in data aggregation and summarization, as well as basic data visualization. In addition, students will get experience using data analysis libraries like numpy and matplotlib.
完成时间为 5 小时
18 个视频 （总计 22 分钟）, 5 个阅读材料, 4 个测验
关于 Introduction to Programming with Python and Java 专项课程
This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today.
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
Is financial aid available?
How much math do I need to know to take this course?
This course was fun. How can I learn more?
完成课程后，我会获得大学学分吗？
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