Data Visualization in Python with Matplotlib

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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

Data Visualization in Python with Matplotlib Video

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:

About Dr. Natalie Waksmanski-Krynski

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.

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.

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*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.