Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.

This episode is brought to you by Posit, the open-source data science company (https://posit.co), and by AWS Inferentia (https://go.aws/3zWS0au). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The advantages of using pandas over other libraries [07:55]
• Why data wrangling in pandas is so helpful [12:05]
• Stefanie’s Data Morph library [24:27]
• When to use pandas, matplotlib, or seaborn [33:45]
• Understanding the ticker module in matplotlib [36:48]
• Where data analysts should start their learning journey [40:08]
• What it’s like being a software engineer at Bloomberg [51:19]

Additional materials: www.superdatascience.com/675

The Super Data Science Podcast: Machine Learning | AI | Success

675: Pandas for Data Analysis and Visualization

Kemi Nelson is a dedicated entrepreneur with a wealth of experience in the role of a data and analytics executive within corporate environments. Currently residing in Texas, Kemi most recently held the position of Director of Strategy and Business Architecture for Property and Casualty insurance (P&C) at USAA. Prior to this, she served as a Data Decision Science Analytics Leader at a prominent Financial Services Bank. With a natural affinity for leadership, Kemi Nelson is deeply committed to fostering business expansion. Her reputation shines brightly within her professional circles, and she consistently strives to motivate and empower individuals across the board.

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Beyond her flourishing professional journey, Kemi Nelson relishes quality time with her family and actively engages in community service. She has provided financial guidance to local schools, volunteered for New Hearts of Texas retreats, and embarked on the establishment of ChampRISER International, her own initiative designed to prepare students and parents for the college admissions process. Through this venture, Kemi Nelson and her team facilitate access to higher education, ensuring that more students realize their full potential by finding the perfect educational fit.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

675: Pandas for Data Analysis and Visualization

Super Data Science: ML & AI Podcast with Jon Krohn