課程信息
4.5
2,034 個評分
369 個審閱
專項課程

第 2 門課程(共 5 門),位於

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中級

中級

完成時間(小時)

完成時間大約為17 小時

建議:5 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語...

您將學到的內容有

  • Check

    Create a visualization using matplotlb

  • Check

    Describe what makes a good or bad visualization

  • Check

    Identify the functions that are best for particular problems

  • Check

    Understand best practices for creating basic charts

您將獲得的技能

Python ProgrammingData VirtualizationData Visualization (DataViz)Matplotlib
專項課程

第 2 門課程(共 5 門),位於

100% online

100% online

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為17 小時

建議:5 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 5 小時

Module 1: Principles of Information Visualization

In this module, you will get an introduction to principles of information visualization. We will be introduced to tools for thinking about design and graphical heuristics for thinking about creating effective visualizations. All of the course information on grading, prerequisites, and expectations are on the course syllabus, which is included in this module. ...
Reading
7 個視頻(共 37 分鐘), 6 個閱讀材料, 2 個測驗
Video7 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
Reading6 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
完成時間(小時)
完成時間為 7 小時

Module 2: Basic Charting

In this module, you will delve into basic charting. For this week’s assignment, you will work with real world CSV weather data. You will manipulate the data to display the minimum and maximum temperature for a range of dates and demonstrate that you know how to create a line graph using matplotlib. Additionally, you will demonstrate the procedure of composite charts, by overlaying a scatter plot of record breaking data for a given year....
Reading
7 個視頻(共 42 分鐘), 2 個閱讀材料, 1 個測驗
Video7 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
Reading2 個閱讀材料
Matplotlib30分鐘
Ten Simple Rules for Better Figures30分鐘
3
完成時間(小時)
完成時間為 8 小時

Module 3: Charting Fundamentals

In this module you will explore charting fundamentals. For this week’s assignment you will work to implement a new visualization technique based on academic research. This assignment is flexible and you can address it using a variety of difficulties - from an easy static image to an interactive chart where users can set ranges of values to be used....
Reading
6 個視頻(共 39 分鐘), 2 個閱讀材料, 2 個測驗
Video6 個視頻
Subplots7分鐘
Histograms9分鐘
Box Plots7分鐘
Heatmaps3分鐘
Animation5分鐘
Interactivity5分鐘
Reading2 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
完成時間(小時)
完成時間為 5 小時

Module 4: Applied Visualizations

In this module, then everything starts to come together. Your final assignment is entitled “Becoming a Data Scientist.” This assignment requires that you identify at least two publicly accessible datasets from the same region that are consistent across a meaningful dimension. You will state a research question that can be answered using these data sets and then create a visual using matplotlib that addresses your stated research question. You will then be asked to justify how your visual addresses your research question....
Reading
3 個視頻(共 18 分鐘), 2 個閱讀材料, 1 個測驗
Video3 個視頻
Seaborn8分鐘
Becoming an Independent Data Scientist1分鐘
Reading2 個閱讀材料
Spurious Correlations10分鐘
Post-course Survey10分鐘
4.5
369 個審閱Chevron Right
職業方向

44%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 SBNov 3rd 2017

Loved the course! This course teaches you details about matplotlib and enables you to produce beautiful and accurate graphs.. Assignments are challanging, and helps to build a solid foundation.

創建者 MLJun 28th 2017

Good course to learned matplotlib and other Graphs libraries, but the course goes further than Python and also encourages the studies to create more meaningful and beautiful Graphic views.

關於 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....

關於 Applied Data Science with Python 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....
Applied Data Science with Python

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