Data Science with Julia (Part I)

Data Science with Julia (Part I)

Best programming language for data analysis, data science and machine learning



Sub Category

  • Data Science

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Objectives

  • Having a strong grasp of data frames in Julia
  • Importing data with Julia
  • Analyzing and manipulating data with Julia
  • Data visualization with Julia


Pre Requisites

  1. I did my best to make this course self-contained, but still I strongly recommend studying the basics of Julia before enrolling. You can take my 'Programming with Julia' course or explore any other online training or book that suits your preferences.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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