Data Visualization with Python

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Offered byCoursera
Public/Government Institute

Data Visualization with Python
at
Coursera
Overview

Learn about data visualization and some of the best practices to keep in mind when creating plots and visuals

Duration	17 hours
Mode of learning	Online
Difficulty level	Intermediate
Credential	Certificate

Data Visualization with Python

Table of contents

Overview
Highlights
Course Details
Curriculum
Faculty
+ 1 more item

Data Visualization with Python
at
Coursera
Highlights

Earn a certificate of completion from IBM

Data Visualization with Python
at
Coursera
Course details

Skills you will learn

Python Data visualization Data Science

What are the course deliverables?

Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

More about this course

In this course you will learn many ways to effectively visualize both small and large-scale data
You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights
This course will teach you to work with many Data Visualization tools and techniques
You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more
You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions
You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE
You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash

Data Visualization with Python
at
Coursera
Curriculum

Introduction to Data Visualization Tools

Welcome

Introduction to Data Visualization

Introduction to Matplotlib

Basic Plotting with Matplotlib

Dataset on Immigration to Canada

Line Plots

Basic and Specialized Visualization Tools

Area Plots

Histograms

Bar Charts

Pie Charts

Box Plots

Scatter Plots

Advanced Visualizations and Geospatial Data

Waffle Charts

Word Clouds

Seaborn and Regression Plots

Introduction to Folium

Maps with Markers

Choropleth Maps

Creating Dashboards with Plotly and Dash

Dashboarding Overview

Introduction to Plotly

Introduction to Dash

Make dashboards interactive

Final Project and Exam

IBM Digital Badge

Data Visualization with Python
at
Coursera
Faculty details

Saishruthi Swaminathan

Saishruthi Swaminathan is a data scientist and developer advocate in the IBM CODAIT team whose main focus is to democratize data and AI through open source technologies.