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.
This course is part of the Applied Data Science with Python Specialization
About this Course
What you will learn
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
Skills you will gain
- Python Programming
- Data Virtualization
- Data Visualization (DataViz)
Start working towards your Master's degree
Syllabus - What you will learn from this course
Module 1: Principles of Information Visualization
Module 2: Basic Charting
Module 3: Charting Fundamentals
Module 4: Applied Visualizations
- 5 stars66.89%
- 4 stars23.33%
- 3 stars6.27%
- 2 stars1.98%
- 1 star1.51%
TOP REVIEWS FROM APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON
Practical course with hands on exercise to make you well versed in Applied Plotting, Charting & Data Representation in Python. I recommend at least every college student should experience this course
This course is really helped me not only to increase my knowledge about the tools but also with the help of the additional reading and optional assignment help me out to improve my skill.
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.
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
About the Applied Data Science with Python Specialization
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