This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Angewandte Datenwissenschaft mit Python
Spezialisierung Angewandte Datenwissenschaft mit PythonUniversity of MichiganÜber diesen Kurs
Was Sie lernen werden
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
Kompetenzen, die Sie erwerben
- Python Programming
- Data Virtualization
- Data Visualization (DataViz)
- Matplotlib
Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.
Lehrplan - Was Sie in diesem Kurs lernen werden
Module 1: Principles of Information Visualization
Module 2: Basic Charting
Module 3: Charting Fundamentals
Module 4: Applied Visualizations
Bewertungen
- 5 stars66,90 %
- 4 stars23,32 %
- 3 stars6,27 %
- 2 stars1,98 %
- 1 star1,51 %
Top-Bewertungen von APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON
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.
Nice course to study more aplicable to become data science. this provide any basic ploting that give insight and knowledge how to build data visualization more efectively and insightfull
Each week for this course is fantastic, but where it really shines is in the final project, which gives you the freedom to apply the techniques you have learned to your interests/passions.
it is a good course to help me have a glance to the data visualization area. However, I think I cannot learned a lot from the course and the homework is so easy that I haven't practice enough.
Über den Spezialisierung Angewandte Datenwissenschaft mit Python
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