Grade 11-12 | 05 Modules
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. It is a way to summarize your findings and display it in a form that facilitates interpretation and can help in identifying patterns or trends. In this course, you will learn how to create interesting graphics and charts and customize them to make them more effective and more pleasing to your audience.
Course: 3 Hours
Module 1:Introduction to Visualization Tools
Learning Objectives
In this lesson you will learn about:
Data visualization and some of the best practices to keep in mind when creating plots and visuals.
The history and the architecture of Matplotlib.
Basic plotting with Matplotlib.
The dataset on immigration to Canada, which will be used extensively throughout the course.
Generating line plots using Matplotlib.
Module 2:Basic Visualization Tools
Learning Objectives
In this lesson you will learn about:
Area plots, and how to create them with Matplotlib.
Histograms, and how to create them with Matplotlib.
Bar charts, and how to create them with Matplotlib.
Module 3:Specialised Visualization Tools
Learning Objectives
In this lesson you will learn about:
Pie charts, and how to create them with Matplotlib.
Box plots, and how to create them with Matplotlib.
Scatter plots and bubble plots, and how to create them with Matplotlib.
Module 4:Advanced Visualization Tools
Learning Objectives
In this lesson you will learn about:
Generating advanced visualization tools such as waffle charts and word clouds.
Seaborn, and how to use it to generate attractive regression plots.
Module 5:Creating Maps and Visualizing Geospatial Data
Learning Objectives
In this lesson you will learn about:
Folium, a data visualization library in Python.
Creating maps of different regions of the world and how to superimpose markers on top of a map.
Creating Choropleth maps with Folium.
Enhance Technical Skills
Essential Course Link