@datascibykashi: If you’re confused about where to start in Data Science, today’s video gives you the FULL roadmap skills, tools, projects, and internships you need to become job-ready! 💡 What you’ll learn today: 1️⃣ Python → NumPy → Pandas → Matplotlib → Seaborn 2️⃣ Statistics, Probability & Math for ML 3️⃣ Machine Learning (Supervised + Unsupervised) 4️⃣ SQL + Power BI/Tableau for Data Analyst roles 5️⃣ NLP, CV, Deep Learning basics 6️⃣ GitHub portfolio + real projects 7️⃣ How a Data Analyst Internship works: • You clean data • Build dashboards • Generate insights • Automate small reports • Assist senior analysts Perfect first step before becoming a Data Scientist! 🔥 Drop a comment: ➡️ What step of the roadmap are YOU currently on? I’ll reply and guide you personally! 💬 🚀 Follow for Daily AI & Data Science Learning (Day 1–∞) #datascience #datascientist #dataanalysis #creatorsearchinsights #educatoraward