Hello , I am feeling overwhelmed and can’t decide the best approach .
I am completing Deeplearning.AI’s ML certification and will move towards Deep Learning. I am also doing CS50’s Introduction to python and have quite a good knowledge about Numpy, Matplotlib, Pandas and Seaborn.
What projects should I build and what skills should I learn to advance my knowledge.
Should i go towards Natural Language Processing ?
Should I start with Kaggle or Should I go towards SQL, Power BI and Databases ?
I am feeling overwhelmed
That’s understandable, I felt the same way when I got started. One of my principals is to focus on building foundational skills first. After my skills are certified, I will focus on more fun and interesting technologies and projects.
If you’re looking to get into Data Science and Machine Learning, I would suggest reading this blog. The author discusses foundational skills that are required to focus on first and more information about how to organize your work.
What projects should I build and what skills should I learn to advance my knowledge.
Your project portfolio is more important than your resume. It will reflect the way your mind works and what you’re interested in, to future employers. I would suggest choosing an industry that you want to work in first. Then start thinking about something compelling that you can do in that industry, that would impress a potential employer.
Should i go towards Natural Language Processing ?
Should I start with Kaggle or Should I go towards SQL, Power BI and Databases ?
I suggest you start by focusing on easier projects and then build into more complex. I made a huge mistake in the beginning, I chose a project that was compelling, but way too complex for my skill level initially. It took all the fun out of learning data science.
I hope these tips help, good luck
Thanks for the suggestion.
Then I’ll start working on some small but creative projects .
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