I keep seeing a lot of people jumping into data science especially those without a tech background. Curious why this field is getting so much attention compared to others like cloud, web dev, or cybersec. Is it the salary hype? the job flexibility? or just that it sounds cooler than traditional dev roles? I’m personally torn between data science and going deeper into backend/web dev, so just wanted to hear from folks who’ve already picked a path. what made you choose data over other domains, and was it worth it?

Our team is struggling with integrating data from various sources like Salesforce, Google Analytics, and internal databases. We want to avoid writing custom scripts for each. Is there a tool that simplifies this process?

Hi everyone,

I’m currently an undergraduate student in Data Science, actively working toward becoming a data scientist. So far, I’ve built a foundation with basic machine learning models using libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and some PyTorch. I’ve also explored LLMs by working with pre-trained models through Hugging Face and LangChain. Lately, I’ve been diving into more advanced ML and deep learning concepts, setting up CI/CD pipelines, and learning backend development for ML using FastAPI and Flask.

Despite experimenting with this wide range of tools and technologies, I still find myself unclear about what companies actually expect from data scientists—both at junior and senior levels. What tech stack should I focus on? Which trends and skills are truly valued in the industry?

As a student, it’s hard to get a clear answer on this. Could someone with experience in the field help clarify what companies are really looking for in data scientists today?

Thanks in advance!

I am currently working as Media Analyst with extremely great WLB and around 45k salary. Before joining current organization I was working as Business Intelligence Analyst Intern with absolutely no WLB and 40k salary at the end of which I got diagnosed with a medical condition which forced me to take my current job. Now, that I am fit and doing well. I am stuck with almost a year and half of no coding practise ( which already I was not pretty good at ) and low salary and feeling of not earning to my full potential. I am confused with what to start studying now, Data Science or DevOps. Would appreciate some honest (even if harsh) suggestions

If you began a journey into data science nearly a year ago, and now looking to take the next step: getting noticed by recruiters and industry professionals.

What are the most effective ways to market yourself in this field? How do you build a strong presence and get on the radar of the right people?

Would love to hear any tips on networking, personal branding, or strategies that have worked for you. Your insights would mean a lot!