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.
本课程是 Introduction to Programming with Python and Java 专项课程 专项课程的一部分
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课程信息
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100% 在线
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第 2 门课程（共 4 门）
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）, 韩语
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 Science
- Python Libraries
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
可灵活调整截止日期
根据您的日程表重置截止日期。
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）
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）, 韩语
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.
立即开始攻读硕士学位
此 课程 与 宾夕法尼亚大学 提供的 100% 在线 Master of Computer and Information Technology 相关。它将为您提供主题、材料和授课教师的预览，以便您确定完整在线学位课程是否适合您。
授课大纲 - 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
审阅
- 5 stars66.96%
- 4 stars25.44%
- 3 stars4.46%
- 2 stars1.33%
- 1 star1.78%
来自DATA ANALYSIS USING PYTHON的热门评论
由 KP 提供Apr 12, 2021
course is overall good but face some problem in understanding of homework questions, proper explanation is needed
由 AM 提供Feb 7, 2021
Videos touching same theme were too short (26 sec, 1 min, etc.) and disruptive. Wish there could be more practices.
由 MH 提供Apr 14, 2021
A great course to learn data analysis and visualization using Python
由 JJ 提供May 3, 2021
this was very useful and well prepared course. Thanks a lot
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
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This course was fun. How can I learn more?
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