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
Acerca de este Curso
Habilidades que obtendrás
- 5 stars66,89 %
- 4 stars23,35 %
- 3 stars6,26 %
- 2 stars1,97 %
- 1 star1,50 %
Principales reseñas sobre APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON
It was a great learning experience as an individual is forced to explore all the official documentations of plotting and charting.The assignments were also very versatile .Loved the course!
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.
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
Acerca de Programa especializado: Ciencias de los Datos Aplicada con Python
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