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Learner Reviews & Feedback for Get Started with Python by Google

4.8
stars
1,330 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 career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Define what a programming language is and why Python is used by data scientists -Create Python scripts to display data and perform operations -Control the flow of programs using conditions and functions -Utilize different types of loops when performing repeated operations -Identify data types such as integers, floats, strings, and booleans -Manipulate data structures such as , lists, tuples, dictionaries, and sets -Import and use Python libraries such as NumPy and pandas...

Top reviews

NF

Jan 13, 2024

About the most interesting learning experience i have had. I love the course structure , its clarity and especially the content of its labs which took the concepts to another level of understanding.

EA

Sep 8, 2024

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.

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101 - 125 of 255 Reviews for Get Started with Python

By Ángel G H

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Sep 14, 2023

Muy educativo y fácil de entender con los videos y los notebook

By Rafael S H

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Aug 11, 2023

Excelente curso, muchas gracias por todo el material. Saludos.

By Siwakorn T

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Aug 6, 2023

This course create a strong fundamental python programming.

By Shahbaz Q

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Jun 25, 2023

Great course. specifically targeting the data science field

By Prem K S

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Aug 11, 2024

This course is very helpful for me to understood python.

By Akowe A

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Jun 1, 2023

This course is packed with numerous data analysis tools.

By Josue N

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Feb 20, 2024

I liked the way it makes it simple to understand python

By Javed S

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Jul 22, 2023

Excellent course content and the instructor is awesome!

By ARNAB B

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Apr 29, 2023

It was a great course about the fundamentals of python.

By Juan M F

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Apr 19, 2024

Awesome features you come across once you know python.

By sasikanth p

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May 20, 2023

It would be better if the path is even more harder...

By Ishan S

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Sep 7, 2024

a very good python course for beginner to adavanced

By Asif I

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Apr 28, 2024

All the basic concepts of Python have been covered.

By samarth a

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Apr 21, 2023

AWESOME experience with hands on learning in python

By Ganiu A

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Nov 10, 2022

Excellent course content. Python is well explained

By raj r

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May 5, 2024

covered most of the information required on python

By MATTHIAS M

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Aug 5, 2024

Excellent intro into Python syntax and data types

By AHISHAKIYE V

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Jun 17, 2024

Great hands-on codes course for python beginners!

By M A

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Jul 8, 2023

Very good introduction with some useful material!

By Tanawin S

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Jun 6, 2023

this course is very good to start learning python

By Sebastian S

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Nov 3, 2023

well structured, good exercises, good explained

By Harsh K

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Oct 4, 2023

It would be great, we got some more to practice

By Anik A

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Sep 17, 2023

Awesome! Good to have such content in coursera.

By Ranjith M

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Jul 3, 2023

Various study material available in this course

By Debesh R

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Mar 10, 2024

Excellent course materials, teaching staffs.