Visualizing Data with Python
This course is part of Ciencia de datos con Python Professional Certificate.
This comprehensive course equips you with essential skills for data visualization using Python. Learn to leverage powerful libraries like Matplotlib, Seaborn, and Folium to transform raw data into meaningful visual representations. Starting with basic visualization tools such as area charts and histograms, you'll progress to specialized techniques including pie charts, scatter plots, and bubble graphs. Advanced visualization methods like Waffle charts, word clouds, and regression plots round out your toolkit. The course culminates with geospatial data visualization, allowing you to create interactive maps. With IBM Watson Studio access included, you'll immediately apply these skills to real-world data science projects, enhancing your ability to tell compelling data stories and make data-driven decisions.
Instructors:
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What you'll learn
Create compelling data visualizations using Python's powerful libraries
Transform complex datasets into clear, informative graphical representations
Master basic visualization tools including area charts, histograms, and bar graphs
Develop specialized visualizations like pie charts, box plots, and scatter plots
Implement advanced techniques such as Waffle charts, word clouds, and regression graphs
Build interactive geospatial visualizations and maps using Folium
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This course provides comprehensive training in data visualization using Python. You'll start by learning fundamental visualization concepts and how to implement them using powerful libraries including Matplotlib, Seaborn, and Folium. The curriculum covers basic visualization tools like area charts, histograms, and bar graphs before advancing to specialized visualizations such as pie charts, box plots, scatter plots, and bubble charts. You'll then master advanced visualization techniques including Waffle charts, word clouds, and regression graphs. The course concludes with geospatial data visualization, teaching you to create interactive maps to represent location-based data. Throughout the program, you'll gain practical experience in IBM Watson Studio, allowing you to immediately apply these visualization skills to real-world data science projects.
Instructor
Dr. Alex Aklson: Crafting Data-Driven Solutions and Innovating Smart Health Systems at IBM
Dr. Alex Aklson is a data scientist in IBM Canada’s Digital Business Group, where he has contributed to innovative projects, including the development of a smart system to detect early signs of dementia by analyzing walking speed and home activity patterns in older adults. Prior to IBM, Alex worked at Datascope Analytics in Chicago, where he crafted data-driven solutions using a human-centered approach. He holds a Ph.D. in Biomedical Engineering from the University of Toronto.
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Frequently asked questions
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