"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
IBM課程信息
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學生職業成果
27%
完成這些課程後已開始新的職業生涯
35%
通過此課程獲得實實在在的工作福利
11%
加薪或升職
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完成後獲得證書
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中級
完成時間大約為18 小時
英語（English）
字幕：英語（English）, 越南語
您將獲得的技能
Python ProgrammingData VirtualizationData Visualization (DataViz)Matplotlib
學生職業成果
27%
完成這些課程後已開始新的職業生涯
35%
通過此課程獲得實實在在的工作福利
11%
加薪或升職
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為18 小時
英語（English）
字幕：英語（English）, 越南語
提供方
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Introduction to Data Visualization Tools
In this module, you will learn about data visualization and some of the best practices to keep in mind when creating plots and visuals. You will also learn about the history and the architecture of Matplotlib and learn about basic plotting with Matplotlib. In addition, you will learn about the dataset on immigration to Canada, which will be used extensively throughout the course. Finally, you will briefly learn how to read csv files into a pandas dataframe and process and manipulate the data in the dataframe, and how to generate line plots using Matplotlib.
完成時間為 2 小時
6 個視頻 （總計 27 分鐘）, 2 個閱讀材料, 2 個測驗
6 個視頻
Welcome4分鐘
Introduction to Data Visualization4分鐘
Introduction to Matplotlib6分鐘
Basic Plotting with Matplotlib4分鐘
Dataset on Immigration to Canada2分鐘
Line Plots3分鐘
2 個閱讀材料
Syllabus10分鐘
[Optional] Download Jupyter Notebook10分鐘
1 個練習
Introduction to Data Visualization Tools30分鐘
完成時間為 4 小時
Basic and Specialized Visualization Tools
In this module, you learn about area plots and how to create them with Matplotlib, histograms and how to create them with Matplotlib, bar charts, and how to create them with Matplotlib, pie charts, and how to create them with Matplotlib, box plots and how to create them with Matplotlib, and scatter plots and bubble plots and how to create them with Matplotlib.
完成時間為 4 小時
6 個視頻 （總計 25 分鐘）, 2 個閱讀材料, 4 個測驗
2 個閱讀材料
[Optional] Download JupyterNotebook10分鐘
[Optional] Download Jupyter Notebook10分鐘
2 個練習
Basic Visualization Tools30分鐘
Specialized Visualization Tools30分鐘
完成時間為 12 小時
Advanced Visualizations and Geospatial Data
In this module, you will learn about advanced visualization tools such as waffle charts and word clouds and how to create them. You will also learn about seaborn, which is another visualization library, and how to use it to generate attractive regression plots. In addition, you will learn about Folium, which is another visualization library, designed especially for visualizing geospatial data. Finally, you will learn how to use Folium to create maps of different regions of the world and how to superimpose markers on top of a map, and how to create choropleth maps.
完成時間為 12 小時
6 個視頻 （總計 15 分鐘）, 3 個閱讀材料, 5 個測驗
6 個視頻
Word Clouds1分鐘
Seaborn and Regression Plots2分鐘
Introduction to Folium2分鐘
Maps with Markers2分鐘
Choropleth Maps4分鐘
3 個閱讀材料
[Optional] Download Jupyter Notebook10分鐘
[Optional] Download Jupyter Notebook10分鐘
IBM Digital Badge2分鐘
2 個練習
Advanced Visualization Tools30分鐘
Visualizing Geospatial Data30分鐘
審閱
來自DATA VISUALIZATION WITH PYTHON的熱門評論
由 DM 提供2020年3月14日
Good course, some of the lab assignments did not load properly so it was difficult to practice... (week 2 & 3). Assignment was good after using Jupyter Notebooks as the scripting interface. Thank you!
由 SS 提供2019年11月20日
It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)
由 MN 提供2019年5月15日
More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums. Thank you.
由 MH 提供2020年6月7日
The labs were good but the issue was the extremely rushed up videos. A lot of concepts, especially the artist layer was not covered will in the videos, which made me give this course 4 stars.
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