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What should i learn if i want to get a career in computer science?
#computer-science #computer #science #technology #computer-programming
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7 answers
Gary Willard, MBA
Product Owner, Cloud Technology Engineering Professional
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Gary’s Answer
You'll want to do a little research to determine what excites you about computer science. There are so many areas of computers and information technology. If you're into gaming, creating websites or creating apps, you may wish to go down the path of computer programming. If you're interested in how things connect and work together, you may wish to study computer networking. Look for classes on intro to computer information systems to start out with. From there, you may see something you want to know more about. I will also advise that (as the others have stated) a good understanding of coding / programming can only help no matter what area of computer science you get into.
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Leo’s Answer
* Coding: start coding on your own on any language. It's better if you have a set goal that you find interesting/fun and you work towards achieving that goal. For instance, try coding a simple videogame. Maybe a clone of the old Pong game, for instance. There are plenty of resources out there that can help you start coding even if that subject isn't offered in your school.
* Math: Computer Science is a branch of Math. So if you don't like Math, you'll probably find Computer Science hard. Conversely, the more Math you know, the easier Computer Science will be.
* Soft Skills, like learning to work well with others, being nice to people, good communication skills, understanding how to navigate difficult situations -- that sort of thing. If you get a job in this field, you'll often be a part of a larger team. You'll have to learn to get along and work with people from all sorts of backgrounds, and you'll need to be nice to others.
* Patience: In this field you'll often be presented with hard problems that you'll have to solve. Very often you won't be able to solve them on the first try, or the second, or the third... This can lead to frustration. You need to be patient and try again and again. But eventually you'll get there -- if you're patient!
* Math: Computer Science is a branch of Math. So if you don't like Math, you'll probably find Computer Science hard. Conversely, the more Math you know, the easier Computer Science will be.
* Soft Skills, like learning to work well with others, being nice to people, good communication skills, understanding how to navigate difficult situations -- that sort of thing. If you get a job in this field, you'll often be a part of a larger team. You'll have to learn to get along and work with people from all sorts of backgrounds, and you'll need to be nice to others.
* Patience: In this field you'll often be presented with hard problems that you'll have to solve. Very often you won't be able to solve them on the first try, or the second, or the third... This can lead to frustration. You need to be patient and try again and again. But eventually you'll get there -- if you're patient!
Updated
Mandeep’s Answer
Hi
If you were to learn about Computer Science, I would recommend going with the following -
- Learning a programming language in each paradigm - imperative, object-oriented, functional, and lisp and scripting. You could choose languages like python or JS which will allow you to code in any of these paradigms, to begin with.
- Learning about microprocessors
- Learning about OS fundamentals
- Learning about networking
- Maths fundamentals - Probability, Stats, Algebra etc (required to build understanding around crypto spacd, machine learning etc)
Then you could potentially advance into areas like cybersecurity, machine learning, distributed systems, etc. but for these subjects also I would recommend learning the fundamentals before going deep into an area...
Many of the online portals like Udacity, Coursera, eDx, etc have these courses for free. Also, you can some of the courses taught at Harvard or MIT on these subjects online.
If you were to learn about Computer Science, I would recommend going with the following -
- Learning a programming language in each paradigm - imperative, object-oriented, functional, and lisp and scripting. You could choose languages like python or JS which will allow you to code in any of these paradigms, to begin with.
- Learning about microprocessors
- Learning about OS fundamentals
- Learning about networking
- Maths fundamentals - Probability, Stats, Algebra etc (required to build understanding around crypto spacd, machine learning etc)
Then you could potentially advance into areas like cybersecurity, machine learning, distributed systems, etc. but for these subjects also I would recommend learning the fundamentals before going deep into an area...
Many of the online portals like Udacity, Coursera, eDx, etc have these courses for free. Also, you can some of the courses taught at Harvard or MIT on these subjects online.
Updated
Bangaru Raja’s Answer
Hi There,
Computer Science is very vast and there are many career paths. Below are the the points I feel need to focus while exploring career path in computer science.
- Understand basics of computer science
- Logical Thinking
- Minimum one programming language knowledge (C#, Java, Python, etc.,)
- Identify your area of Interest Low level programming, Mobile Development, QA , Automation Tools, Networking, Web Development, Security , Big Data, Machine Learning, etc.,
- Once you identify the interested area, do little research on which Technical skills are being asked by going through career portals and take specific course training either from online platforms or class room trainings.
- Practice and try to do some personal projects which will help to improve the learnings done.
Computer Science is very vast and there are many career paths. Below are the the points I feel need to focus while exploring career path in computer science.
- Understand basics of computer science
- Logical Thinking
- Minimum one programming language knowledge (C#, Java, Python, etc.,)
- Identify your area of Interest Low level programming, Mobile Development, QA , Automation Tools, Networking, Web Development, Security , Big Data, Machine Learning, etc.,
- Once you identify the interested area, do little research on which Technical skills are being asked by going through career portals and take specific course training either from online platforms or class room trainings.
- Practice and try to do some personal projects which will help to improve the learnings done.
Updated
Mickael’s Answer
Hi Luis,
The strict minimum you need to learn is:
- at least one coding language.
- data structure and algorithms.
- computer architecture.
I may add to that list "introduction to operating system" but I do not think it is mandatory (part of the strict minimum)
Then you can add specific topics depending on the area of computer science you want to work in. Additional skills may be then:
- math if you research new algorithms, machine learning, cybersecurity encryption
- protocols if you want to work in telecom or protocols
- cybersecurity if you are interested in cybersecurity but not in research.
- and others...
Then it's just continuous practice, continuous learning. I've worked for three very different companies and except for the basics, none required the same skills.
The strict minimum you need to learn is:
- at least one coding language.
- data structure and algorithms.
- computer architecture.
I may add to that list "introduction to operating system" but I do not think it is mandatory (part of the strict minimum)
Then you can add specific topics depending on the area of computer science you want to work in. Additional skills may be then:
- math if you research new algorithms, machine learning, cybersecurity encryption
- protocols if you want to work in telecom or protocols
- cybersecurity if you are interested in cybersecurity but not in research.
- and others...
Then it's just continuous practice, continuous learning. I've worked for three very different companies and except for the basics, none required the same skills.
Updated
Dana’s Answer
Hi there! I'm a Computer Science graduate.
I would recommend starting with algorithms and coding small problems. Then coding something bigger that you'd like, like the Pong game like Leo suggested.
If I was to turn back in time, this is what I would do: practice coding everyday by learning about new algorithms and solving problems on websites like Leetcode and Hackerrank.
It would also be nice if you could pick up an online course about computers or about algorithms. Having things explained seems easier in videos with drawings for me.
Here is are 2 courses with the foundations of Computer Science and programming, by Google:
https://techdevguide.withgoogle.com/paths/new_to_cs/
https://techdevguide.withgoogle.com/paths/foundational/
Hope this helps! good luck! <3
I would recommend starting with algorithms and coding small problems. Then coding something bigger that you'd like, like the Pong game like Leo suggested.
If I was to turn back in time, this is what I would do: practice coding everyday by learning about new algorithms and solving problems on websites like Leetcode and Hackerrank.
It would also be nice if you could pick up an online course about computers or about algorithms. Having things explained seems easier in videos with drawings for me.
Here is are 2 courses with the foundations of Computer Science and programming, by Google:
https://techdevguide.withgoogle.com/paths/new_to_cs/
https://techdevguide.withgoogle.com/paths/foundational/
Hope this helps! good luck! <3
Updated
Ali’s Answer
I think understanding data structures and some basic algorithms are key to computer science. There's a ton of free learning out there, so I would definitely start by checking that out.
Also...a fun book I've read that "Algorithms to Live By" by Brian Christian and Tom Griffiths. It anecdotally introduces several algorithms that are applied to real-life stuff!
Check out trailhead.salesforce.com
Read "Algorithms to Live By" by Brian Christian and Tom Griffiths
Also...a fun book I've read that "Algorithms to Live By" by Brian Christian and Tom Griffiths. It anecdotally introduces several algorithms that are applied to real-life stuff!
Ali recommends the following next steps: