This guide provides tips and resources to help you develop your technical skills (academically and non-academically) through self-paced, hands-on learning.
This guide is intended for Computer Science students seeking an internship or university grad role at Google.
- You can use this guide to determine which courses to take, but be sure to stay on track with your courses required for your major to graduate.
- We encourage you to learn more outside of this guide. The more you know, the better!
- The online resources we’ve cited aren’t meant to replace courses available at your university, but they may help supplement your education or provide an introduction to a topic.
- The information and recommendations in this guide were gathered through our work with students and candidates in the field. It is a work-in-progress, a living document, so be sure to periodically check back for updates.
Note: Following the recommendations in the guide does not guarantee a job at Google.
- The guide lists topics and resources in a rough progression, from possible places to begin if you have little or no technical skills, to resources for those with increasing skills, to ways to gain exposure in the Computer Sciences field.
- You can use any of the resources you want, in any order.
Online resources:
Learn to code in (at least) one object-oriented programming language (C++, Java®, Python®) Online resources for beginning programmers:
- Java Programming: An Introduction to Software, Duke University, Coursera
- Learn to Program: The Fundamentals, University of Toronto, Coursera
- Introduction to Programming in Java, MIT
- Google's Python Class
- Introduction to Interactive Programming in Python, Rice University, Coursera
Online resources for more experienced programmers:
- Java Programming: Data Structures and Beyond, University of California San Diego, specialization on Coursera
- Design of Computer Programs, Udacity
- Learn to Program: Crafting Quality Code, University of Toronto, Coursera
- Introduction to Programming Languages, Brown University
- JavaScript®
- CSS & HTML
- Ruby®
- PHP®
- C®
- Perl®
- Shell® script
- Lisp®
- Scheme®
Online resources:
-
Test your code Learn how to catch bugs, create tests, and break your software.
Online resources:
- Software Testing, Udacity
- Software Debugging, Udacity
- Mathematics for Computer Science, MIT
- Introduction to Mathematical Thinking, Stanford, Coursera
- Probabilistic Graphical Models, Stanford, Coursera
- Game Theory, Stanford and University of British Columbia, Coursera
Develop a strong understanding of algorithms and data structures Learn about fundamental data types (stack, queues, and bags), sorting algorithms (quicksort, mergesort, heapsort), data structures (binary search trees, red-black trees, hash tables), and Big O.
Online resources:
- Introduction to Algorithms, MIT
- Algorithms Part 1 & Algorithms Part 2, Princeton, Coursera
- List of Algorithms, Wikipedia
- List of Data Structures Wikipedia
- Book: The Algorithm Design Manual, Steven S. Skiena
Computer Science 162, UC Berkeley, YouTube
- Machine Learning Engineer nanodegree, Udacity
- Deep Learning, Udacity
- Introduction to Robotics, Stanford University
- Machine Learning, Stanford University
- Google Developer Training for Android, on Udacity
- Google Developer Training for Web, on Udacity
- Cryptography, Stanford, Coursera
- Applied Cryptography, Udacity
Work on projects outside of the classroom Create and maintain a website, build your own server, or build a robot.
Online resources:
- Capstone project: Analyzing (Social) Network Data - scroll down to bottom of page,
UCSD, Coursera
- Capstone project: Java Programming: A DIY Version of Netflix and Amazon Recommendation Engines, Duke University, Coursera
- Project Directory, Apache
- Google Summer of Code Project Archive
Work on a small piece of a large system (codebase), read and understand existing code, track down documentation, and debug GitHub is a great way to read other people’s code or contribute to a project.
Online resources:
Work on projects with other programmers This will help you improve your ability to work well in a team and enable you to learn from others.
Practice your algorithmic knowledge and coding skills Practice your algorithmic knowledge through coding competitions like CodeJam or ACM’s International Collegiate Programming Contest.
Online resources:
Become a teaching assistant Helping to teach other students will help enhance your knowledge of the subject matter.
Gain internship experience in software engineering Find Google’s internships in Engineering and Technology on our Students site.
Online resource to prepare to interview for software engineering positions, including for internships:
- Mastering the Software Engineering Interview, UCSD, Coursera