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.
Este curso forma parte de Programa especializado: Ciencias de los Datos Aplicada con Python
Programa especializado: Ciencias de los Datos Aplicada con PythonUniversidad de MíchiganAcerca de este Curso
Qué aprenderás
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
Habilidades que obtendrás
- Python Programming
- Data Virtualization
- Data Visualization (DataViz)
- Matplotlib
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Programa - Qué aprenderás en este curso
Module 1: Principles of Information Visualization
Module 2: Basic Charting
Module 3: Charting Fundamentals
Module 4: Applied Visualizations
Reseñas
- 5 stars66,88 %
- 4 stars23,39 %
- 3 stars6,26 %
- 2 stars1,98 %
- 1 star1,47 %
Principales reseñas sobre APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON
Excellent Course as the previous one in this specialization. One of the things I liked is the skills gained in previous course are required to start the assignment. Very well designed as always
I thought this was a really good introduction to matplotlib and some of the things you can do with it. The final project we got to apply what we'd learned to real data, which was a lot of fun.
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.
Very helpful to understand what it takes to make a scientific and sensible visual. Recommended for someone who is interested in learning data visualization and does not have a background.
Acerca de Programa especializado: Ciencias de los Datos Aplicada con Python
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