Offered By: IBM
Data Visualization with Python
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.Continue reading
Data Visualization19.5k+ Enrolled
At a Glance
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.
"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.
- 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
- 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
- This course is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
- Python 101
- Data Analysis with Python
Skills You Will Learn
Data Visualization, Data Science, Python
Technical lead and data scientist in the IBM CODAIT team
My main focus is to democratize data and AI through open source technologies. I have a Masters in Electrical Engineering specializing in Data Science and a Bachelor degree in Electronics and Instrumentation. My passion is to dive deep into the ocean of data, extract insights, and use AI for social good. Previously, I was working as a Software Developer. On a mission to spread the knowledge and experience, acquired in my learning process. Currently leading the education for rural children initiative and organizing meetups focussing on women empowerment.Read more
This Course is part of the following Learning Paths
Beginner Learning PathData Science with Python
Learn how to code in Python for data science, then analyze and visualize data with Python with packages like scikit-learn, matplotlib and bokeh. This is an action-packed learning path for data science enthusiasts and aspiring data scientists who want to learn data science hands-on with Python.3 Courses