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    Back to Get Started with Python

    Learner Reviews & Feedback for Get Started with Python by Google

    Filled StarFilled StarFilled StarFilled StarFilled Star
    4.8
    stars
    1,541 ratings

    About the Course

    This is the second of seven courses in the Google Advanced Data Analytics Certificate. The Python programming language is a powerful tool for
    data analysis. In this course, you’ll learn the basic concepts of Python programming and how data professionals use Python on the job. You'll
    explore concepts such as object-oriented programming, variables, data types, functions, conditional statements, loops, and data structures.
    Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant
    tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your c...
    ...

    Top reviews

    EA

    Sep 9, 2024

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Great course! Very helpful for beginner Python learners especially for learning key concepts. Jupyter notebooks, Pandas, Numpy, Tuples, Lists, etc are some of the interesting concepts covered.

    MG

    Jun 22, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    I'm exited with this course, i learn python from scratch and pyhton libraries such as numpy and pandas are easy to learn. tutorial video are effictive, lab are so effictive, thanks a lot.

    Filter by:

    226 - 250 of 296 Reviews for Get Started with Python

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    By amna i

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    Jun 8, 2023

    Amazing!

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    By Hasnain S

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    Jan 8, 2025

    Amazing

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    By Vikash K

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    Nov 8, 2024

    Thank u

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Lilian K

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    Oct 24, 2023

    awesome

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    By Hugo E

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    Sep 7, 2023

    Awesome

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    By Ali K A

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    Jul 4, 2023

    amazing

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    By Chandrashekhar D

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    Dec 2, 2023

    Great!

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Justin H

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    Nov 26, 2023

    Brutal

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    By Dhansheera S

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    May 17, 2025

    good.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By 杨敏

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    Mar 15, 2024

    非常有用!

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    By pupu P

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    Feb 2, 2024

    good!

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    By Nhimallan S

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    Jun 28, 2023

    Great

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    By JEEVA G J

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    May 16, 2025

    Good

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    By Shyamdin P

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    Feb 15, 2025

    nice

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    By Inbatamizhan P

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    Dec 2, 2024

    Good

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Pradeep K

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    Sep 24, 2024

    Best

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    By Sushmitha .

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    Sep 10, 2024

    good

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    By Xalilov G O o

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    Apr 19, 2024

    zo'r

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    By Việt B H

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    Mar 2, 2024

    good

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    By KEDHARNATH R Y (

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    Nov 30, 2023

    good

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    By Daniel M

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    Nov 16, 2023

    nice

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    By KOTESHWARRAO K L V

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    Jun 3, 2023

    Good

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Murodjon A

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    Feb 12, 2025

    new

    Filled StarFilled StarFilled StarFilled StarStar

    By Brian H

    •

    Jan 5, 2025

    The good: Excellent overall introduction; concise presentations; clear explanation of fundamentals. The bad: Forces learners to choose fictitious project, which has marginal relevance; because the portfolio project is required, it limits the ability of the learner to explore as the project carries over across courses. The ugly: videos often freeze, requiring restart. Overall, recommend course to those with a basic understanding of analysis; however, learner should have expectations that the courses require additional/outside study and practice.

    Filled StarFilled StarFilled StarFilled StarStar

    By samuel c

    •

    Jan 29, 2025

    Quite a nice introduction to Python. Learning a programming language requires a lot of time and dedication to achieve something. I think Google is aware that it only has a limited number of hours to teach the basics and it's pretty well done. Based on my own experience, it will take many hours beyond the scope of this course to master Python and to be able to use it as a Data professional but it's still a good starting point. Reading the documentation and practicing are keys to go forward. Nice introduction.

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