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.
Get Started with Python
Get Started with Python
This course is part of Google Advanced Data Analytics Professional Certificate
Instructor: Google Career Certificates
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104,601 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(1,366 reviews)
Advanced level
Designed for those already in the industry
Flexible schedule
Approx. 30 hours
Learn at your own pace
98%
Most learners liked this course
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
Shareable certificate
Add to your LinkedIn profile
Assessments
20 quizzes
Taught in English
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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 videos12 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 videos10 readings4 quizzes6 ungraded labs
Instructor
Instructor ratings
4.8 (365 ratings)Offered by
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Learner reviews
4.8
1,366 reviews
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Showing 3 of 1366
AS
4
Reviewed on Nov 28, 2023
A great course, explaining what matters, nice examples. i would have loved to get some more advanced examples. and how to choose a data structure that is best suited to the data.
AA
5
Reviewed on 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.
MG
5
Reviewed on Jun 21, 2023
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.
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