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Visualizing Data with Python

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BeginnerCourse

Unlock the power of data with Python in this beginner-focused course. Learn foundational skills in data science and graphic communication, guiding your journey into data visualization. Master Python techniques, essential for creating impactful visuals, while exploring IBM's Watson Studio for a seamless experience. Engage with hands-on exercises to transform complex data into compelling stories.

Language

  • English

Topic

  • Data Visualization

Skills You Will Learn

  • Data Science, Data Visualization, Graphic Communication, Python, Watson Studio

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 5 weeks

Platform

  • edX

Last Update

  • February 5, 2025
About this Course
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

"A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. 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.

In this course, you will learn how to leverage a software tool to visualize data that will also enable you to extract information, better understand the data, and make more effective decisions.

When you sign up for this course, you get free access to IBM Watson Studio. In Watson Studio, you’ll be able to start creating your own data science projects and collaborating with other data scientists. Start now and take advantage of everything this platform has to offer!


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

Instructors

Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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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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