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    Back to Introduction to Data Science in Python

    Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.5
    stars
    27,158 ratings

    About the Course

    This course will introduce the learner to the basics of the python programming environment, including fundamental python programming
    techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and
    cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the
    central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By
    the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical an...
    ...

    Top reviews

    PK

    May 10, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

    AV

    Jan 1, 2017

    Filled StarFilled StarFilled StarFilled StarFilled Star

    To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente

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    Apr 15, 2020

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    Jan 12, 2020

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    Jan 3, 2020

    A

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    Oct 11, 2019

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    Jun 5, 2018

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    Nov 16, 2017

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    Nov 27, 2021

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