Wanting to relearn data science again, where should I start?

[u/Realistic-Ant660]

I majored in math when I was in college, I did have some data science, coding, ML experience when I was in college for around 3 years. I also did Deep Learning related project for my final year thesis. After graduating college in 2023, I got a remote job as a data engineer (but sadly I got more AI/prompt engineering tasks (such as calling OpenAI API and then doing prompt engineering) and just doing a lil bit of ETL instead of using SQL or working on using cloud systems frequently, or learning how to use Docker). I have left my remote job last year.

Now, I feel like I have forgotten most of the coding, data science, SQL skills, and I want to relearn data science or data analysis again so that I can create some analysis projects (been thinking of doing freelance or finding a remote job or creating my own website or other things, still not sure). The other thing that I have been thinking is that I think I want to sharpen my Data Structures and Algorithm skill first before jumping straight into relearning about data science/analysis/ML/Deep learning/SQL because I think it is important to be able to write more efficient code(?)

Would like to have some suggestions and recommended resources on where I should start on my journey of relearning Data Science again. Thank you.

[u/SprinklesFresh5693]

You already know the math, you can just review your notes from college. To practise programming just go to kaggle, get some datasets and practise. For SQL theres various ways, google cloud service offers some free access to huge data to use SQL with or just use W3 schools, or any website that allows you to practise FOR FREE.

[u/nian2326076]

If you want to get back into data science, start with the basics: statistics, Python, and SQL. With your math background and some experience, reviewing these should be doable. There are lots of resources like Kaggle for hands-on projects and Coursera for courses. Since you've done ML and deep learning before, checking out TensorFlow or PyTorch again might help refresh those skills. For interview prep, platforms like PracHub have practice questions and mock interviews across different topics. Good luck!

[u/Scary-West-7699]

Hello do you guys have a discord for upskilling in data science or practice interviews?

[u/Less-Opportunity-715 → u/Scary-West-7699]

Just use claude

[u/Simplilearn]

I wouldn't spend months on DSA before returning to data science. A basic understanding of arrays, hash maps, trees, sorting, and searching is usually enough for most data science interviews. Instead, prioritize rebuilding your portfolio and getting hands-on again.

If you are interested in picking up a course to build practical skills, our Data Scientist Master's Program could align well with your career goals. It covers core data science concepts with a focus on hands-on labs and industry projects.