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.
Ce cours fait partie de la Spécialisation Science des données appliquée avec Python
Spécialisation Science des données appliquée avec PythonUniversité du MichiganÀ propos de ce cours
Ce que vous allez apprendre
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
Compétences que vous acquerrez
- Python Programming
- Data Virtualization
- Data Visualization (DataViz)
- Matplotlib
Offert par
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Programme de cours : ce que vous apprendrez dans ce cours
Module 1: Principles of Information Visualization
Module 2: Basic Charting
Module 3: Charting Fundamentals
Module 4: Applied Visualizations
Avis
- 5 stars66,88 %
- 4 stars23,36 %
- 3 stars6,26 %
- 2 stars1,97 %
- 1 star1,50 %
Meilleurs avis pour APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON
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.
Inspires you to create attractive visualisations with a balanced representation, while creating something what you really want, while actively suggesting to explore the API to get to that result.
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!
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
À propos du Spécialisation Science des données appliquée avec Python
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