Google

Get Started with Python

This course is part of Google Advanced Data Analytics Professional Certificate

Taught in English

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Course

Gain insight into a topic and learn the fundamentals

4.8

(928 reviews)

|

98%

Advanced level
Designed for those already in the industry
30 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain how Python is used by data professionals

  • Explore basic Python building blocks, including syntax and semantics

  • Understand loops, control statements, and string manipulation

  • Use data structures to store and organize data 

Details to know

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Assessments

20 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(928 reviews)

|

98%

Advanced level
Designed for those already in the industry
30 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Data Analysis expertise

This course is part of the Google Advanced Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Google
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There are 5 modules in this course

You’ll begin by exploring the basics of Python programming and why Python is such a powerful tool for data analysis. You’ll learn about Jupyter Notebooks, an interactive environment for coding and data work. You’ll investigate how to use variables and data types to store and organize your data; and, you'll begin practicing important coding skills.

What's included

12 videos7 readings4 quizzes3 ungraded labs

Next, you’ll discover how to call functions to perform useful actions on your data. You’ll also learn how to write conditional statements to tell the computer how to make decisions based on your instructions. And you’ll practice writing clean code that can be easily understood and reused by other data professionals.

What's included

8 videos4 readings3 quizzes5 ungraded labs

Here, you’ll learn how to use iterative statements, or loops, to automate repetitive tasks. You’ll also learn how to manipulate strings using slicing, indexing, and formatting. 

What's included

9 videos5 readings4 quizzes7 ungraded labs

Now, you’ll explore fundamental data structures such as lists, tuples, dictionaries, sets, and arrays. Lastly, you’ll learn about two of the most widely used and important Python tools for advanced data analysis: NumPy and pandas. 

What's included

17 videos11 readings5 quizzes9 ungraded labs

You will put everything you have learned about Python so far into practice with an end-of-course project. You will select a business problem from a list of options and use the given data to solve the problem. This project is an opportunity to demonstrate your skills and build a professional portfolio you can use to showcase your work to potential employers. 

What's included

4 videos9 readings4 quizzes2 discussion prompts6 ungraded labs

Instructor

Instructor ratings
4.8 (241 ratings)
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323 Courses9,257,463 learners

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4.8

928 reviews

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AS
4

Reviewed on Nov 28, 2023

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5

Reviewed on Sep 27, 2023

AA
5

Reviewed on Jan 12, 2024

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