M.Sc. Big Data Analytics student confused about career path and certifications
Hey everyone,
I’m currently doing my first year M.Sc. in Big Data Analytics, and placements are starting from next semester. The placements in my college are not that great, so I’m trying to prepare seriously on my own.
The thing is, I’m really confused about which direction I should focus on. There are so many fields like AI, ML, Data Analytics, Data Science, and Data Engineering, and every person online seems to suggest something different.
I also tried applying for many internships recently, but I’m barely getting any replies back, which made me question whether I’m learning the right things or not.
So I wanted to ask people already working in these fields:
- Which field currently has better opportunities for freshers?
- Which courses or certifications actually add value while applying for jobs or internships?
- Which course helped you get real hands-on experience instead of just theory?
- Are certifications from Google, IBM, Microsoft, AWS, Coursera, etc. actually useful?
- What should I be focusing on right now before placements start?
- Should I spend more time on projects, certifications, DSA, internships, or networking?
- Which field has better long-term growth and less saturation?
Would really appreciate honest guidance because right now I feel very confused about what path I should take.