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Learner Reviews & Feedback for Get Started with Python by Google

4.8
stars
1,696 ratings

About the Course

This is the second of eight 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 eight 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

AA

Dec 8, 2024

Great intro to Python for someone with a very basic understanding of computer coding. Some challenges in the clarity of lab instructions, but overall very easy to follow along.

IM

May 4, 2023

Overall the course is pretty good. The python tutorials could be more interactive, include more tutorials and then gradually increasing the difficulty level.

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251 - 275 of 329 Reviews for Get Started with Python

By Hasnain S

•

Jan 8, 2025

Amazing

By Vikash K

•

Nov 8, 2024

Thank u

By Lilian K

•

Oct 24, 2023

awesome

By Hugo E

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Sep 6, 2023

Awesome

By Ali K A

•

Jul 4, 2023

amazing

By Chandrashekhar D

•

Dec 2, 2023

Great!

By Justin H

•

Nov 26, 2023

Brutal

By Dhansheera S

•

May 17, 2025

good.

By 杨敏

•

Mar 15, 2024

非常有用！

By pupu P

•

Feb 2, 2024

good!

By Nhimallan S

•

Jun 28, 2023

Great

By JEEVA G J

•

May 16, 2025

Good

By Shyamdin P

•

Feb 15, 2025

nice

By Inbatamizhan P

•

Dec 1, 2024

Good

By Pradeep K

•

Sep 24, 2024

Best

By Sushmitha .

•

Sep 10, 2024

good

By Xalilov G O o

•

Apr 19, 2024

zo'r

By Việt B H

•

Mar 2, 2024

good

By KEDHARNATH R Y (

•

Nov 30, 2023

good

By Daniel M

•

Nov 16, 2023

nice

By KOTESHWARRAO K L V

•

Jun 3, 2023

Good

By Eduardo S H V

•

Oct 12, 2025

yes

By Murodjon A

•

Feb 12, 2025

new

By P S

•

May 21, 2025

.

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.