11 tips to get into google


google has always been a tempting employer for people with code running through their veins ,not every one gets into this internet giant. Google is one of few companies which focuses on the knowledge one has more than the certificates he/she is holding. Apart from this google also loves those who are different from others ,who are unique and technically sound. If you are one of your kind google will find you but if you’re lagging somewhere this post will get you in shape ,and on track in race towards google. Go through the mentions below which are direct expectations from googlers and brace yourself for the race. 

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:   Learn 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.” Udacity, 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. Become familiar with artificial intelligence. Google loves robots. Stanford has the knowledge.
9. 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.
10. Learn cryptography. Because cybersecurity is crucial. Coursera and Udacity provide courses.
11. 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.
But Google doesn’t just look at skills in its select candidates – the search giant seeks specific personality qualities, too.
also see google’s official Google Education page ,click Google Education to view the page.

Source: EFY times.

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