Visualizing Data 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.

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Created by: Alex Aklson

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Course Description

"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.
You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you get free access to Watson Studio. Start now and take advantage of this platform.
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

Intermediate Level

Time: 5 Weeks - 2-4 hours per week

Instructor Details

Alex Aklson

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Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach. Alex received his Ph.D. in Biomedical Engineering from the University of Toronto.