Career & Skill Development in Data Science and AI - It's not essential to have a computer science, mathematics, or statistics background to pursue data science and AI; passion is key [1][2] - Data literacy starts with understanding basic statistical techniques, definitions, and mathematical concepts to make sense of data [4] - Learning by doing is crucial for acquiring skills in data science and AI, moving beyond just reading theory [12][13][14][15][16] - A growth mindset and iterative learning are important for success in data and AI, starting with the basics and progressing step by step [18][19] - Over-reliance on AI tools like ChatGPT can hinder problem-solving abilities; ethical use and critical thinking are essential [27][28][29][30][31] Resources & Community Engagement - The internet offers a plethora of free resources for learning data science and AI; willingness to step out of one's comfort zone is key [7][8][11] - Joining online communities like Reddit and LinkedIn groups can facilitate networking and learning in data science and AI [22][23][24] Communication & Business Acumen - Successful data scientists must be able to communicate insights to business users, translating technical findings into understandable language [25][26] Industry Outlook & Opportunities - The field of data science and AI offers opportunities to be a change maker, with potential for high earnings even in regions like Pakistan [12][36] - Exploring AutoML frameworks and YouTube videos can provide a feel for building AI models, offering a starting point for pursuing data science and AI [33][34]