At a Glance

Name: Data Visualization with Python
Price: Free CAD
Rating: 0.0 (0 reviews)

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 Data Visualization with Python course, you'll learn how to create interesting graphics and charts and customize them to make them more effective and more pleasing to your audience.

About This Course

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large data sets. Data visualization plays an essential role in the representation of both small and large scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.

The main goal of this course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, seaborn, and Folium.

Course Syllabus

Module 1 - Introduction to Visualization Tools

Introduction to Data Visualization

Introduction to Matplotlib

Basic Plotting with Matplotlib

Dataset on Immigration to Canada

Line Plots

Module 2 - Basic Visualization Tools

Area Plots

Histograms

Bar Charts

Module 3 - Specialized Visualization Tools

Pie Charts

Box Plots

Scatter Plots

Bubble Plots

Module 4 - Advanced Visualization Tools

Waffle Charts

Word Clouds

Seaborn and Regression Plots

Module 5 - Creating Maps and Visualizing Geospatial Data

Introduction to Folium

Maps with Markers

Choropleth Maps

General Information

This course is free.
It is self-paced.
It can be taken at any time.
It can be audited as many times as you wish.

Requirements

Python 101
Data Analysis with Python

Offered By: Cognitive Class

Data Visualization with Python

At a Glance

About This Course

Course Syllabus

General Information

Requirements

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