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Python Functions for Data Science Preview

Python Functions for Data Science

With Lavanya Vijayan and Madecraft Liked by 1,058 users
Duration: 1h 30m Skill level: Intermediate Released: 10/2/2020

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Course details

Functions are a core building block of programming and working with data and an essential approach to making code more readable and reusable. In this course, discover how to save time and enhance your code using common functions for data science projects. Explore fundamental built-in Python functions for data science, as well as more advanced built-in functions such as the filter function in Python. Learn how to leverage functions from the NumPy and SciPy libraries to manipulate numerical data and perform statistical operations. Learn how to store, modify, and group data efficiently using functions from the pandas library. Get tips on using functions from the Matplotlib and Seaborn libraries for data visualization. Plus, get insights into common pitfalls and mistakes developers make when using functions as part of a data science initiative.

Skills you’ll gain

Meet the instructors

Learner reviews

4.5 out of 5

461 ratings
  • 5 star
    Current value: 328 71%
  • 4 star
    Current value: 85 18%
  • 3 star
    Current value: 27 6%
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    Current value: 12 3%
  • 1 star
    Current value: 9 2%
  • Avik Roy Avik Roy

    Avik Roy

    HR Shared Service, Wipro Kolkata

    5/5 February 21, 2025
    Good explanation of topics. Definitely would refer to my network who are interested
    Helpful · Report
  • Sandeep Kulkarni Sandeep Kulkarni

    Sandeep Kulkarni

    --

    2/5 September 12, 2024
    The instructor completely fails to engage the audience. The utterance or throw of last word in every sentence was so dominating (and kind of weird) that it sounded like she is ordering the students. Rest part in the sentences were quite monotonous. Probably the worst instructor I came across at LikedIn Learning so far. Will definitely not recommend her courses.
    Helpful · Report
  • Lu Z. Lu Z.

    Lu Z.

    5/5 September 5, 2024
    Really appreciate the way the course is structured. Highly recommend!
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Learn on the go Access on tablet and phone

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