Is it a better option for an ECE student to enter data science for a better career?

Updated on : December 8, 2021 by Camilo Newman



Is it a better option for an ECE student to enter data science for a better career?

Any graduate with a solid background in statistics and mathematics can become a data scientist, and proficient in languages ​​like Python and R would be an advantage. As an electronics engineer, you would be dealing a lot with advanced math topics that play a vital role in the data scientist position and the probability and stochastic areas of mathematics play a vital role in many of the algorithms in data science.

The basic qualities that a recruiter looks for in a candidate for the data science position:

  • Able to interpret viable results from a data set
  • must be autonomous and flexible
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Any graduate with a solid background in statistics and mathematics can become a data scientist, and proficient in languages ​​like Python and R would be an advantage. As an electronics engineer, you would be dealing a lot with advanced math topics that play a vital role in the data scientist position and the probability and stochastic areas of mathematics play a vital role in many of the algorithms in data science.

The basic qualities that a recruiter looks for in a candidate for the data science position:

  • Able to interpret viable results from a data set
  • must be entrepreneurial and flexible to go beyond the limits
  • Competence in algorithms such as regression, classification, etc.
  • must be able to demonstrate skills (kaggle, projects, etc.)
  • Last but not least, you must be a good storyteller.

A chemical engineer, a physicist, and an electrical engineer walk into a bar ... And a few months later, they all become data scientists. :P

I personally know people from all those backgrounds who ended up becoming data scientists at Facebook or Microsoft.

Data science is as much about a relevant skill set as it is about how you think in the presence of data and how you can ask interesting questions.

And if you feel like you're lacking the relevant skills, keep in mind that even Shakespeare didn't know English when he was born.

Yes, it is a very good option and a smart move. Let me explain why.

I was also in the same branch i.e ECE during my university days and like you guys our main subject is like DCNT, semiconductor devices are just some computer related subjects like data structure (DS) so that during our BTech we had the opportunity to lean towards YOU. Course-oriented jobs like test development, Java, mainframe, etc., so it's pretty hard to get those basic programming skills. While data science requires very basic programming skills if you want to work on tools like R, SAS, etc.

2. It is very well paid, safe (consider

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Yes, it is a very good option and a smart move. Let me explain why.

I was also in the same branch i.e ECE during my university days and like you guys our main subject is like DCNT, semiconductor devices are just some computer related subjects like data structure (DS) so that during our BTech we had the opportunity to lean towards YOU. Course-oriented jobs like test development, Java, mainframe, etc., so it's pretty hard to get those basic programming skills. While data science requires very basic programming skills if you want to work on tools like R, SAS, etc.

2. It is highly paid, secure (considering the current scenario) and an interesting job profile. At least it's better than a boring coding job (aisa mere sochna hai .. no offense).

3.wide scope in the future

If anyone needs more information, ask, that's it for today.

First stop thinking about your past

Second, open YouTube and start to see what the skills are necessary for it.

3. Take a course and start doing a project on it.

4. Use them to get an internship.

5. Get a job in data analyst after completing btech.

6th job in any industry for 4-6 years and only then can you become a data scientist.

Hey!

I am currently doing my last year at ETC Engg, I am not an expert in Data Science but I am not least interested in it.

If you are really interested in data science, go for it. You must have a solid command of programming concepts, especially in python / R. Another important skill is statistics, the ability to interpret data and add your own value. Also develop your ability to find data. Data is everywhere, but it is still hard to find. Later, learn about pipelining etc, if you don't already possess these skills, I suggest you sign up for various MOOCs and videos on the

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Hey!

I am currently doing my last year at ETC Engg, I am not an expert in Data Science but I am not least interested in it.

If you are really interested in data science, go for it. You must have a solid command of programming concepts, especially in python / R. Another important skill is statistics, the ability to interpret data and add your own value. Also develop your ability to find data. Data is everywhere, but it is still hard to find. Later, learn about pipelining, etc. If you don't already possess these skills, I suggest you sign up for various MOOCs and videos on the internet.

It is very important to undertake your own projects to test the skills you have learned. Keep developing your skills, taking on projects, etc.

When you're ready, do internships and stuff.

All the best :)

Why not?

1. Learn as much math and statistics as possible.

2. Switch to Linux.

3. Learn Python and its scientific computing libraries. Implement all math, probabilities, and statistics with Python. Understand pandas well.

4. Fall in love with tables, graphs, data interpretation, etc.

5. Get familiar with machine learning, CNN, etc.

Good luck

Dr. Hari VS

First of all as a data science aspiring you need to acquire extensive knowledge about database management systems and then learn the basic skills that add weight to your learnings such as MS Excel, SQL then go to concepts machine learning that deal with various algorithms and their functionalities. . Second, choose a data science tool like Tableau or PowerBI or various data visualization tools and learn all the concepts of it and you are already building a great career in data science.

ECE, CS, Civil, Mechanical, EEE, IT, Metallurgy and other branches of students can become data scientists if they have the skills to complete the selection process for a job.

I did my B.Tech in Electronics and Communications. I never thought I would land in the domain of computer science.

I wrote GATE in my last week of Btech. I did it, not so good, but it was better than average. After so much confusion as to whether I should look for a job or do Mtech, I finally decided to do IIIT-B Masters. When I accepted the admission, my goal was to complete mtech with a decent job (package of around 7 lacs) since at that time all I know about CS is, just a normal print and a for loop in C language ... : D. Many of my friends thought the same.

After coming here I exposed myself to the anlyti data

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I did my B.Tech in Electronics and Communications. I never thought I would land in the domain of computer science.

I wrote GATE in my last week of Btech. I did it, not so good, but it was better than average. After so much confusion as to whether I should look for a job or do Mtech, I finally decided to do IIIT-B Masters. When I accepted the admission, my goal was to complete mtech with a decent job (package of around 7 lacs) since at that time all I know about CS is, just a normal print and a for loop in C language ... : D. Many of my friends thought the same.

After coming here, I was exposed to data analytics. I developed interests in algorithms and data structure, I began to enjoy this whole field of data science and computer science.

They put me in a company, much better than I expected. Now I started working on big data technologies. Not that I'm working as a central data scientist, but I certainly have a path for it and the opportunities now.

This was my story from being an electronic core guy to a CS / DS core guy.

To answer your question, you will have to start small. You will have to start learning data analytics practices through moocs or you can through any regular degree course like I did.

Some startups hire people in the data analytics domain, but for that, you'll need to strengthen your CS fundamentals. I encourage you to keep your data structures and problem-solving skills strong, as you have no experience in the field of data analysis, the interviewer would hope. have a good problem solving ability at least. Try to learn basic machine learning stuff and some programming languages ​​(eg Python, R programming, etc.) that are necessary in the field of data analysis. You will surely get the field of your choice, that is, data analysis, but you will have to try harder.

Yes, computer science is a good career to choose in the future. The reason behind this is that the technology industry is growing by the day, so earning a degree in computer science will never be a waste of time. In other words, we can say that earning a degree in computer science is an investment for you. Let us tell you about some benefits to your future from pursuing a career in computer science. If you want to know them, take a look:

·

A career in computer science is powerful in a way that it can influence and affect a large group of people.

·

There will always be a need for technology p

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Yes, computer science is a good career to choose in the future. The reason behind this is that the technology industry is growing by the day, so earning a degree in computer science will never be a waste of time. In other words, we can say that earning a degree in computer science is an investment for you. Let us tell you about some benefits to your future from pursuing a career in computer science. If you want to know them, take a look:

·

A career in computer science is powerful in a way that it can influence and affect a large group of people.

·

There will always be a need for tech-savvy professionals in various fields of computing due to the number of technology companies and IT positions required to fill. Let us tell you that IT professionals are not only in the technology industry, but also in other fields with the necessary computing specialists. Because of this, finding a job will not be that difficult for computer science students.

·

Computer science graduates have higher paying jobs and better job opportunities than those who do not. The reason behind this is that they have the proof to back up their capabilities.

·

A career in computer science can help make a difference in improving your use of technology.

·

We are all familiar with this that technology is constantly changing and having a career in computer science means that knowledge will always be up to date in this fast growing industry. There will always be a growth space for graduates to help them serve the industry to its best potential.

Along with these, there are a host of benefits available that show the value of having a career in computer science.

Gateway Education offers a wide range of technical and career courses that help students to make their career shine. We have colleges and institutes that have a great staff of trainers and teachers who provide students with the best of their knowledge and experience and this provides opportunities for students to take their career to new heights. Also, our placement cell is the best among the other universities that provide students with placement in the best multinational companies. For more information and details, visit the official Gateway Education website.

These are two very different fields, and if you're wondering which "should you" do, it means you need to spend more time thinking about your career goals. The purpose of earning a master's degree is to increase the likelihood of getting the job you want.

Ask yourself: What am I looking to do with my career? If you want to do data science, machine learning, etc., earning a master's in data science is the way to go. If you are more interested in learning about computer science / programming and (probably) want to be an engineer, then getting a master's degree in Computer Science is probably a better option.

Yes

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These are two very different fields, and if you're wondering which "should you" do, it means you need to spend more time thinking about your career goals. The purpose of earning a master's degree is to increase the likelihood of getting the job you want.

Ask yourself: What am I looking to do with my career? If you want to do data science, machine learning, etc., earning a master's in data science is the way to go. If you are more interested in learning about computer science / programming and (probably) want to be an engineer, then getting a master's degree in Computer Science is probably a better option.

If you're not sure, go to LinkedIn and find people who have jobs that interest you: What positions do they hold? What education and background did he have? Hopefully that will give you some information.

That said: obtaining a master's degree is time-consuming, expensive, and requires energy and effort. If you are not sure which field you want to study in, it is a good sign that you are not ready to pursue a master's degree.

Thanks,

-nick

ps Full Disclosure: I teach at the USF Master of Analytics.

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