Skip to main content

QUESTION: How to choose a career path as a student?

cover image
QUESTION: How to choose a career path as a student?

If you are a student and you are confused about your study area or it is hard for you to decide a career path then congratulations, you are not alone. Almost every student is feeling the same. It is the beginning of tough time that every successful person you see today has been through. You are not any special. It is a panic for everyone but the level of intensity vary from person to person.

I will use students and people interchangeably.

Some people get good mentor-ship while some have got a good luck which reduces their pain in some way. But many students have to figure out their way by own. Sounds disheartening, isn’t it? It’s OK. Get over it.

I was sort of the latter kind of student but luckily at the end of my degree I meet with my most respected mentors. Whenever I have to make a choice, I surely contact them and request them for their advice. It does not mean that I follow 100% of the advice all the time but it makes like more than 50% of my decision.

Here, I am going to share my own personal experience that I had throughout my graduation. When I was a student, I rarely asked people what should I do or which areas of computer science have larger scope. Instead I tried to at least get familiar with as many branches of computer science as I could. I learned basics of web engineering, apps development, desktop development, Networking, Game development, software architecture, OS, Databases and algorithms etc. The question is how I did all this? Well, every student who consider their degree as a serious business do better than me. I am average. Not the brightest, not the most gifted human…

Here, I am going to share my own personal experience that I had throughout my graduation. When I was a student, I rarely asked people what should I do or which areas of computer science have larger scope. Instead I tried to at least get familiar with as many branches of computer science as I could. I learned basics of web engineering, apps development, desktop development, Networking, Game development, software architecture, OS, Databases and algorithms etc. The question is how I did all this? Well, every student who consider their degree as a serious business do better than me. I am average. Not the brightest or most gifted human…

Never make a choice until you know all the possible choices you have. [Advice]

I am glade that I got involved in many things. When I was learning android development, I never thought that one day I will need to make android plugins for unity.
When I was learning web, I never thought that I will get a remote internship as a JavaScript developer in the Silicon Valley of US.

Now as a fresh graduate I have enough options to choose from for the rest of my career because I never limited myself to one specific thing. Computer Science and other areas related to computer are evolving with super-fast speed. No body guarantees the existence of things in future which exist today. Again, never choose when you do not to have.

But frequently switching among things or doing things in parallel is arguably a bad idea but who cares. It is sort of personal taste. Whether you embrace the power of doing one thing or you just go and do it all. Obviously you can shift from many to one at any time you want. After all the end goal is self-satisfaction and without self-satisfaction, nobody can reach nowhere. So, it’s up to you.

In conclusion, I would recommend you to stop asking and start working. When you ask someone for advice, you get a story in response and when you work by yourself, you get experience in return. And I think experience is a better choice than a story. So, go and get your hands dirty with many colors and see which colors suit you the best. Choose few and wash the rest or keep all of them. Again, it is you who have to decide. So role up your sleeves and create your story the way you want, the way you like.

Comments

  1. Choosing a best career is the most difficult part of every students life. Choose a career path is the beginning of tough time that every successful person comes form it. Most important thing while choosing a career is interested of the subject or the things you want to move on. Many of the parents force there child to choose there career according to their wish but no. Don't force your child to according to your wish. Let him/her choose there career according to their interest. It will be the best and successful decision to get success in life.

    ReplyDelete
  2. Choosing a career is one of the most important decisions you will make in life. It's about so much more than deciding what you will do to make a living. Some parents force their child in choosing a particular career. They are not aware that if they will force their child then it will not lead to success of their child. A child should choose the carrier as per their choice, then only they will achieve a success.

    ReplyDelete
  3. Amazing post and useful content. Glad to read this article. Thank you so much for sharing this post. I would like too be share with others. Visit To Know More: Timothy Bosque

    ReplyDelete

Post a comment

Popular posts from this blog

Introduction to Data Science: What is Big Data?

What Is Big Data First, we will discuss how big data is evaluated step by step process. Evolution of Data How the data evolved and how the big data came. Nowadays the data have been evaluated from different sources like the evolution of technology, IoT(Internet of Things), Social media like Facebook, Instagram, Twitter, YouTube, many other sources the data has been created day by day. 1. Evolution of  Technology We will see how technology is evolved as we see from the below image at the earlier stages we have the landline phone but now we have smartphones of Android, IoS, and HongMeng Os (Huawei)  that are making our life smarter as well as our phone smarter. Apart from that, we have heavily built a desktop for processing of Mb's data that we were using a floppy you will remember how much data it can be stored after that hard disk has been introduced which can stored data in Tb. Now due to modern technology, we can be stored data in the cloud as well. Similarly, nowadays we noticed …

How Big Data Analytics Can Help You Improve And Grow Your Business?

Big Data Analytics There are certain problems that can only solve through big data. Here we discuss the field big data as "Big Data Analytics". The big data came into the picture we never thought how commodity hardware is used to store and manage the data which is reliable and feasible as compared to the costly sources. Now let us discuss a few examples of how big data analytics is useful nowadays. When you go to websites like Amazon, Youtube, Netflix, and any other websites actually they will provide some field in which recommend some product, videos, movies, and some songs for you. What do you think about how they do it? Basically what kind of data they generated on these kind websites. They make sure to analyze properly. The data generated is not small it is actually big data. Now they analysis these big data they make sure whatever you like and whatever you are the preferences accordingly they generate recommendations for you. If you go to Youtube you have noticed it kn…

AI Vs Machine Learning Vs Deep Learning

AI Vs Machine Learning Vs Deep Learning Artificial intelligence, deep learning and machine learning are often confused with each other. These terms are used interchangeably but do they do not refer to the same thing. These terms are closely related to each other which makes it difficult for beginners to spot differences among them. The reason I think of this puzzle is that AI is classified in many ways. It is divided into subfields with respect to the tasks AI is used for such as computer vision, natural language processing, forecasting and prediction, with respect to the type of approach used for learning and the type of data used. Subfields of Artificial Intelligence have much in common which makes it difficult for beginners to clearly differentiate among these areas. Different approaches of AI can process similar data to perform similar tasks. For example Deep learning and SVM both could be used for object detection task. Both have pros and cons. In some cases Machine Learning is …