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Data Visualization in Python with Matplotlib

Integrating technology into our student experience has been at the core of our forward-thinking learning options for more than 20 years. We are taking advantage of what we do best by providing students additional online skill-building options through such complimentary videos as data visualization in Python, data analytics with Power BI and more. Start today!

Designed to benefit intermediate Python programmers, this Data Visualization in Python with Matplotlib video can help you hone your skills.

Video Details

LENGTH

1 hour

COST & FEES

$0.00, 100% complimentary

What You'll Learn

If you’re interested in taking your data visualization skills further, Dr. Natalie Waksmanski-Krynski walks you through how to use Python to help:

Analyze massive amounts of information
Make data-driven decision
Create the most commonly used plots to visualize real data
Apply it to relevant real-world applications
Gain insight into building and modifying matplotlib plots

Please note that this video is for learners who have prior experience with Python and utilize Jupyter Notebooks. If you do not have Jupyter Notebooks, please download Anaconda Navigator.

The link below will take you to Kaltura's site for full-screen viewing of the video:

Data Visualization Python

Data Visualization Python

View Data Visualization in Python Video

Additional Details

These online, self-paced videos are non-credit bearing, avocational and not part of a DeVry University or Keller Graduate School of Management program of study.
These short videos are provided to help you develop or enhance your skills. Completion of these videos does not lead to employment.

About Dr. Natalie Waksmanski-Krynski

Natalie

Natalie

Dr. Waksmanski is currently a Professor and Faculty Chair at DeVry University in the College of Engineering and Information Sciences where she teaches physics, computer programming, electronics, calculus, algebra, and statistics. Through a joint engineering program between Illinois Institute of Technology and Dominican University, she simultaneously earned B.S. degrees in civil engineering and mathematics from the respective schools in 2012. She earned a Ph.D. in engineering with a concentration in mechanics and a certificate in nuclear engineering at The University of Akron in 2016. She has published numerous papers on the static and dynamic analysis of layered composite plates with multiphase coupling and nonlocal effects.

Dr. Waksmanski’s area of expertise in computational mechanics has been applied to multiple areas in STEAM where in addition to enhancing student experience in the classroom, she serves as a mentor to a FIRST Tech Challenge Robotics team. In this role she encourages students toward scientific and engineering interests while leading them through their path of scholarly and creative discovery. In all three seasons she has been mentoring the team, her team advanced to the Illinois First Tech Challenge League state competition.

Related Programs

If you're interested in this topic, DeVry University is accredited* by The Higher Learning Commission (www.hlcommission.org) and offers the following related degree programs:

*DeVry University is accredited by The Higher Learning Commission (HLC), www.hlcommission.org. The University's Keller Graduate School of Management is included in this accreditation.