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 stars66.88%
- 4 stars23.33%
- 3 stars6.27%
- 2 stars1.98%
- 1 star1.51%
TOP REVIEWS FROM 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.
its actually a good course as it starts from fundamentals of visualization to the data visualization,the assignments this course provide are exciting and full of knowledge that you learn in course ..
Week 1 is a little bit theory and boring for me because that doesn't interest me but week 2 and week 4 is amazing. Especially week 4 assignment is too good. Overall the course is worth learning.
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.
About the Applied Data Science with Python Specialization
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