The Complete Python eBook & Video Course Bundle

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What's Included

Learning Python for Data Science (Video)
  • Experience level required: All levels
  • Access 8 lectures & 3.65 hours of content 24/7
  • Length of time users can access this course: Lifetime

Learning Python for Data Science (Video)

Packt Publishing

Packt Publishing | 4.0/5 average rating from 303,276 total students

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, Packt has published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

Ilyas Ustun is a data scientist. He is passionate about creating data-driven analytical solutions that are of outstanding merit. Visualization is his favorite. After all, a picture is worth a thousand words. He has over 5 years of data analytics experience in various fields like transportation, vehicle re-identification, smartphone sensors, motion detection, and digital agriculture. His Ph.D. dissertation focused on developing robust machine learning models in detecting vehicle motion from smartphone accelerometer data (without using GPS). He publishes from time to time on his website:


Python is an open-source community-supported, general-purpose programming language that, over the years, has also become one of the bastions of data science. Thanks to its flexibility and vast popularity that data analysis, visualization, and machine learning can be easily carried out with Python. This course will help you learn the tools necessary to perform data science. You will explore coding on real-life datasets, and implement your knowledge on projects. By the end of this course, you'll have embarked on a journey from data cleaning and preparation to creating summary tables, from visualization to machine learning and prediction.

  • Access 8 lectures & 3.65 hours of content 24/7
  • Learn data analysis, manipulation, & visualization using the Pandas library
  • Create statistical plots using Matplotlib & Seaborn to help you get insights into real size patterns hidden in data
  • Gain an in-depth understanding of the various packages so as to perform data analysis & implement machine learning models


Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels
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  • Any device with basic specifications


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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