Drake Baer is a reporter at Business Insider, and according to his research and analysis, he came up with a list of skills one needs to bag a job at Google. Even if you aren’t looking for a job at Google, this article helps you focus on what is important to become a better computer engineer.

Now, keep in mind that Google doesn’t JUST look at your soft skills.  A college dropout, who is highly confident, smart and also an efficient programmer has more chances of landing that $100,000 job than a regular college graduate. So, while you read this, don’t just focus on your soft skills.

With that in mind, here are the 10 technical skills you need to land a job at Google –

 

1. Mastering the foundation –

You have to be able to get through an introduction to CS course, like the ones from Udacity or Coursera.

 

2. Learn to code in at least one object-oriented programming language –

Like C++, Java, or Python. Consult MIT or Udacity.

 

3. Learn other programming languages –

Add Java Script, CSS, Ruby, and HTML to your skillset. W3school and CodeAcademy are there to help.

 

4. Test your code –

 Because Google wants you to be able to “catch bugs, create tests, and break your software.” . We have Udacity for that, once again.

 

5. Have some background in abstract math –

Like logical reasoning and discrete math, which lots of computer science draws on.MIT can help you with mathematics for computer science.

 

6. Understand algorithms and data structures –

Google wants you to learn about fundamental data types like stacks, queues, and bags, as well as grasp sorting algorithms like quicksort, mergesort, and heapsort. MIT provides the recommended online resources, and the book “The Algorithm Design Manual” is super helpful, too.

 

7. Get to know operating systems –

Because they’ll be where you do much of your work. The University of California, Berkeley, provides a primer.

 

8. Learn how to build compilers –

Stanford says that when you do that, “you will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines.” Head to Coursera for the learning.

 

9. Learn cryptography –

Because cybersecurity is crucial. Courseraand Udacity provide courses.

 

10. Learn parallel programming –

 Because being able to carry out tons of computations at the same time is super powerful. The University of Illinois can help you out.

 

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