I'm now in my final semester of college and I'm experiencing this dilemma, whether I want to be a software engineer or an ML engineer. There is too much learning provided on campus, the scope of IT is very broad and no one teaches where to focus. Then this video appeared, answering the dilemma I had been experiencing all this time. Thank You.
Great video. I've been studying data science for months and I really discouraged by the math. I love programming specially mobile application development. I think I need to go back to Mobile dev. What’s your opinion
@TheUser76576 Appreciate your honesty! If math is really draining your motivation and you find more joy in mobile app development, it might be worth shifting back. Loving what you do is key for long-term success. Plus, mobile development is thriving, so you’d still be on a solid path! Go where your passion leads you ;)
@OmkarKambar-b8c Thanks for the love! ❤️ For data scientist roles, DSA (Data Structures & Algorithms) isn’t always a major focus like it is for software engineering roles, but having a good grasp can be helpful. Most interviews will emphasize statistics, machine learning concepts, and practical coding problems, but it never hurts to brush up on the basics of DSA, especially if you’re applying to tech giants. Good luck with your interviews ;) By the way, I have a video about how to "Prepare for coding interviews in 1 week" :P
I want to switch career into IT so as a non IT person how can i really experience both fileds some practical so i can decide which career path should i take
Great question, Chintan! To explore both fields, try a simple data science project on Kaggle using Python and Jupyter Notebooks. For software engineering, build a basic project (like a calculator) on freeCodeCamp or with Python. This hands-on experience will help you decide which path suits you better. Good luck!
@ChintanGhava Great question! I'd try some hands-on projects in IT to get a real feel for it. Maybe start with basic coding or play around with cloud tech using free resources. See what clicks with you-sometimes, the practical experience makes your decision clearer! Good luck!
Such a wonderful explanation
Really appreciate it!
Glad I could help :)
I'm now in my final semester of college and I'm experiencing this dilemma, whether I want to be a software engineer or an ML engineer. There is too much learning provided on campus, the scope of IT is very broad and no one teaches where to focus. Then this video appeared, answering the dilemma I had been experiencing all this time. Thank You.
You're welcome :)
I got a better grasp on what i want to do, thank you😁
Glad I could help. You’re welcome 😊
You went straight into the point ! Thanks man🙏🏻
Of course, no time wasted! ;)
Great video!
Thanks ma man 😊
Awesome bro
Thanks bro!
Great video. I've been studying data science for months and I really discouraged by the math. I love programming specially mobile application development. I think I need to go back to Mobile dev. What’s your opinion
@TheUser76576 Appreciate your honesty! If math is really draining your motivation and you find more joy in mobile app development, it might be worth shifting back. Loving what you do is key for long-term success. Plus, mobile development is thriving, so you’d still be on a solid path! Go where your passion leads you ;)
Hello is DSA preparation required for interview in data scientist? Great video by the way ❤️
@OmkarKambar-b8c Thanks for the love! ❤️ For data scientist roles, DSA (Data Structures & Algorithms) isn’t always a major focus like it is for software engineering roles, but having a good grasp can be helpful. Most interviews will emphasize statistics, machine learning concepts, and practical coding problems, but it never hurts to brush up on the basics of DSA, especially if you’re applying to tech giants.
Good luck with your interviews ;)
By the way, I have a video about how to "Prepare for coding interviews in 1 week" :P
good guidance
Glad you liked it, Nitin :)
I want to switch career into IT so as a non IT person how can i really experience both fileds some practical so i can decide which career path should i take
Great question, Chintan! To explore both fields, try a simple data science project on Kaggle using Python and Jupyter Notebooks. For software engineering, build a basic project (like a calculator) on freeCodeCamp or with Python. This hands-on experience will help you decide which path suits you better. Good luck!
@ChintanGhava Great question! I'd try some hands-on projects in IT to get a real feel for it. Maybe start with basic coding or play around with cloud tech using free resources. See what clicks with you-sometimes, the practical experience makes your decision clearer! Good luck!