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Python for Data Visualization 

Premium
IntermediateCourse

Get started with Python and build essential skills for data visualization in just 5 weeks. No prior programming experience required.

Language

  • English

Topic

  • Data Visualization

Industries

  • Data Visualization

Skills You Will Learn

  • Data Visualization, Dash, Matplotlib, Dashboards And Charts, Python

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 5 weeks

Platform

  • SkillsNetwork

Last Update

  • April 10, 2025
About this Course
Data visualization is one of the top five skills required for data science (Harvard Business School). Aspiring data professionals, data analysts, and data scientists proficient in data visualization are in demand! This course gives you the data visualization skills and practical experience you need to catch an employer's eye in just 5 weeks.  
   
During this course, also part of the IBM Data Analyst Professional Certificate, you’ll learn how to tell compelling stories through data visualization and transform raw data into meaningful insights. You’ll learn to use various Python tools and libraries, such as Matplotlib, Seaborn, Folium, Plotly, and Dash. You’ll also master how to analyze and present complex data in an accessible and engaging way, use basic and advanced plotting techniques, and create interactive dashboards.   
  
As you work through the modules, you’ll explore: 
  • Visualization tools such as:  
  • Area plots 
  • Histograms 
  • Bar charts 
  • Pie charts 
  • Box plots 
  • Scatter plots 
  • Waffle charts 
  • Word clouds 
  • Geospatial maps.  
  • How to build dashboards 
  • How to create interactive data applications.  
  
Additionally, you’ll gain valuable practical experience working on hands-on labs and a final project to analyze historical automobile sales data, visualize it, and then communicate your findings. Great experience to talk about in interviews! 
  
If you want to build in-demand data visualization skills and enhance your data analytics job opportunities, enroll today. You have a great career ahead! 

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 

Learning Objectives

  • 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, and choropleth maps 
  • Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library 

Recommended Skills Prior to Taking this Course

This is an intermediate-level course. We, therefore, recommend that you complete the Python for Data Analysis course and Data Science Project: Hands-on with Python Course before starting this one. All these courses are part of the IBM Data Analyst Professional Certificate. 

Instructors

Saishruthi Swaminathan

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.

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IBM Skills Network

IBM Skills Network Team

At IBM Skills Network, we know how crucial it is for businesses, professionals, and students to build hands-on, job-ready skills quickly to stay competitive. Our courses are designed by experts who work at the forefront of technological innovation. With years of experience in fields like AI, software development, cybersecurity, data science, business management, and more, our instructors bring real-world insights and practical, hands-on learning to every module. Whether you're upskilling yourself or your team, we will equip you with the practical experience and future focused technical and business knowledge you need to succeed in today’s ever-evolving world.

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