Before you begin your data science self-study, it's important to set clear goals for what you want to achieve.
Make sure you have a solid understanding of statistics, linear algebra, and programming basics like Python or R.
Look for open datasets online or in your own field of interest, and practice manipulating and analyzing the data.
Joining online communities, attending meetups or webinars, and following experts on social media can all help you learn from others.
Choose projects that interest you and challenge you to apply new skills.
Look for puzzles, competitions, or other challenges to help you hone your skills.
Subscribe to industry newsletters, attend conferences or webinars, and follow experts in the field to stay informed.