Get Started with Python

Google via Coursera

Coursera based on 1,549 ratings

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Overview

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, youll 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...

Syllabus

Hello, Python!

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

Functions and conditional statements

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

Loops and strings

Here, youll learn how to use iterative statements, or loops, to automate repetitive tasks. Youll also learn how to manipulate strings using slicing, indexing, and formatting.

Data structures in Python

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

Course 2 end-of-course project

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.