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Introduction to Data Visualization in Python

An interactive one-day workshop on effective visualization techniques for business and finance professionals.

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Not only has Python become one of the most widely used general-purpose programming languages utilized by developers, business professionals, and data scientists across all industries, it also offers a variety of packages that help users create dynamic and actionable visualizations. Powerful libraries like Matplotlib and Seaborn are some of Python’s most popular visualization frameworks, allowing analysts and decision makers within the domains of business and finance to work seamlessly within the most commonly used Python development environments.

During this hands-on, one-day course, attendees will learn the basics of using visualization tools within Python, including conducting exploratory data visualization exercises with various real-world datasets. In today’s highly robust and data-rich world, there is only so much one can glean from looking at traditional descriptive statistics. Enter Python's seamless and versatile ability to generate easy to comprehend and explore graphics, charts, and interactive plots.

This workshop will also equip users with an understanding of foundational course context areas including an overview of descriptive statistics.

Attendees can use either a Mac or Windows computer for this class.

Please note that basic Python programming skills are required for this course. Cognitir will provide an outline of required skills and recommend a free, online Python course to participants if no prior skills are existent.

Course Duration
1 Day
Course Prerequisites
Introduction to Python or Introduction to Data Science


Introduction to Python’s Main Visualization Packages

Attendees will be exposed to some of the most popular visualization and data plotting libraries within the Python ecosystem such as Matplotlib and Seaborn.

Practical Hands-On Application

Throughout the course, students will practice creating robust and insightful data visualizations.

Engaging Training Environment

Attendees will be able to interact closely with and communicate with Cognitir’s instructors who have highly relevant real-world business and technical experience across major industry segments.

Support Beyond the Classroom

All attendees will receive post-seminar email support along with a certificate of completion and instructions on how to add the course to their LinkedIn profiles and/or resumes.


This course is relevant for all business and finance professionals who want to gain a hands-on introduction to data visualization using Python’s most powerful libraries.

You must have taken an introductory Python programming course or equivalent skills before attending this workshop.

Not sure if this is the right course for you? Contact us.

What Participants Say

"Very informative & accessible; helpful for executing my research."
– Margaret S.
"Excellent material, organization, and customer service. You [the instructors] make yourselves highly available and approachable"
– Tayva P.
"I like the teaching style, really enjoyed the class."
– Olivier B.
"Great teaching style and content!"
- Chris M.

Course Specific Questions

Do I need any prior experience using Python or Data Science prior to taking this course?

In order to successfully complete this course, you do need to have basic knowledge of the Python programming language. Please look at our Introduction to Python course as a baseline for relevant knowledge required for the visualization class. Cognitir will also recommend a free, online Python course to participants for this course which needs to be completed if no equivalent skills are existent.

How is this course different from other Cognitir courses such as Introduction to Data Science?

Introduction to Data Science focuses on a broad range of topics including machine learning, classification, and popular data science methodologies. This visualization course is purely concentrated on teaching the fundamentals of creating interactive graphical representations of data.

Is this course geared toward professionals working within a specific industry?

No. The exploration and visualization of datasets using Python is highly useful for professionals from all industries.

Do I have the right laptop for the course?

You will need a PC (Windows Vista or newer), Mac (OS X 10.7 or newer), or Linux (Ubuntu, RedHat and others; CentOS 5+).

Do I need to install any software prior to the course?

Yes, you will need to download and install free Python software on your laptop. In case you are planning on using a company laptop, please make sure that you have the necessary rights to install the tools. We will send out detailed information on the download and installation procedures a few days before the course starts.

Visit our FAQs to see commonly asked questions from participants.

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Questions about this course? Enquiring about training availability? We'd love to hear from you!