#Subqueries

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Practice, practice, practice You can't blame others who got the job. You can't blame AI if you didn't practice hard enough. Reading questions doesn't do it. You have to roll up your sleeves and practice daily to hone your problem-solving skills. Landing a job is not the goal, it’s about finding a sustainable rhythm that can help you keep going in different work environments and solving problems that drive innovation forward. If you want to land a job in data science or AI here are the questions you should practice. - Python including DSA - Probability and stats (in Python) - Exploratory data analysis - Machine & deep learning - SQL - LLMs and Agentic AI I developed an advanced data science and AI job interview prep guide with over 1,000 questions explained and answered. It’ll prepare you for any type of the interview, but more importantly it’ll make you a critical thinker, as well as pump up your communication skills! Comment “INTERVIEW” to become the most marketable and hireable data scientist in the room of 500+ applicants!

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WHY ITS HARD TO FIND DATA ANALYSIS JOBS? It’s not your fault. Job market runs on Supply vs Demand. Supply is super high - Thanks to Online Courses and Tech Influencers. You expect that in 4 Months you’ll get a job as told by these courses/programs and LIFE IS SET. It’s a Lie. My advice would be to keep learning. Learn Analysis and Build Projects and start applying. Sidewise, start learning Data Science too and then Machine Learning and Then AI. If you’ve caliber, stamina and guts to walk the long road then only start doing Data Analysis. Finally, I wish you luck and hope you crack a Job in it in before Holi(4th March) #theboringfounder #coding #dataanylysis #machinelearning #ai

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