課程信息

671,279 次近期查看

學生職業成果

36%

完成這些課程後已開始新的職業生涯

38%

通過此課程獲得實實在在的工作福利

14%

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。
第 2 門課程(共 5 門)
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24 小時
英語(English)
字幕:英語(English), 韓語

您將學到的內容有

  • Describe what makes a good or bad visualization

  • Understand best practices for creating basic charts

  • Identify the functions that are best for particular problems

  • Create a visualization using matplotlb

您將獲得的技能

Python ProgrammingData VirtualizationData Visualization (DataViz)Matplotlib

學生職業成果

36%

完成這些課程後已開始新的職業生涯

38%

通過此課程獲得實實在在的工作福利

14%

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。
第 2 門課程(共 5 門)
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24 小時
英語(English)
字幕:英語(English), 韓語

講師

提供方

密歇根大学 徽標

密歇根大学

教學大綱 - 您將從這門課程中學到什麼

內容評分Thumbs Up93%(6,419 個評分)Info
1

1

完成時間為 5 小時

Module 1: Principles of Information Visualization

完成時間為 5 小時
7 個視頻 (總計 37 分鐘), 6 個閱讀材料, 2 個測驗
7 個視頻
About the Professor: Christopher Brooks1分鐘
Tools for Thinking about Design (Alberto Cairo)8分鐘
Graphical heuristics: Data-ink ratio (Edward Tufte)4分鐘
Graphical heuristics: Chart junk (Edward Tufte)5分鐘
Graphical heuristics: Lie Factor and Spark Lines (Edward Tufte)3分鐘
The Truthful Art (Alberto Cairo)8分鐘
6 個閱讀材料
Syllabus10分鐘
Help us learn more about you!10分鐘
Notice for Coursera Learners: Assignment Submission10分鐘
Dark Horse Analytics (Optional)10分鐘
Useful Junk?: The Effects of Visual Embellishment on Comprehension and Memorability of Charts30分鐘
Graphics Lies, Misleading Visuals10分鐘
2

2

完成時間為 7 小時

Module 2: Basic Charting

完成時間為 7 小時
7 個視頻 (總計 42 分鐘), 2 個閱讀材料, 1 個測驗
7 個視頻
Matplotlib Architecture6分鐘
Basic Plotting with Matplotlib7分鐘
Scatterplots8分鐘
Line Plots8分鐘
Bar Charts4分鐘
Dejunkifying a Plot3分鐘
2 個閱讀材料
Matplotlib30分鐘
Ten Simple Rules for Better Figures30分鐘
3

3

完成時間為 8 小時

Module 3: Charting Fundamentals

完成時間為 8 小時
6 個視頻 (總計 39 分鐘), 2 個閱讀材料, 2 個測驗
6 個視頻
Subplots7分鐘
Histograms9分鐘
Box Plots7分鐘
Heatmaps3分鐘
Animation5分鐘
Interactivity5分鐘
2 個閱讀材料
Selecting the Number of Bins in a Histogram: A Decision Theoretic Approach (Optional)10分鐘
Assignment Reading10分鐘
4

4

完成時間為 5 小時

Module 4: Applied Visualizations

完成時間為 5 小時
3 個視頻 (總計 18 分鐘), 2 個閱讀材料, 1 個測驗
3 個視頻
Seaborn8分鐘
Becoming an Independent Data Scientist1分鐘
2 個閱讀材料
Spurious Correlations10分鐘
Post-course Survey10分鐘

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來自APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON的熱門評論

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關於 借助 Python 应用数据科学 專項課程

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....
借助 Python 应用数据科学

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