🚀 10 Data Science Roles & Their Learning Paths (Save this Roadmap!) Confused where to start in Data Science? 🤯 � Here’s a role-wise roadmap so you know exactly what to learn → to land your dream role. 👨‍💻 Data Analyst� Excel → SQL → Data Cleaning → BI Tools (Power BI/Tableau) → Basic Stats 🔬 Data Scientist� Python/R → Statistics → ML Algorithms → Feature Engineering → Projects ⚙️ ML Engineer� Python → Machine Learning → Deep Learning → Model Deployment (Flask/FastAPI, Docker) → MLOps 📦 Dat

🔥 Data Science Career Path Revealed 🔥 Wondering how far Data Science can take your career? Here is the real growth path no one shows. Save this if you want to reach the top! ⬇️ ✅ Entry Level (0–2 yrs) Roles: Junior Data Analyst, Junior Data Scientist Skills: SQL, Python, Statistics, Dashboards 💰 Salary Growth Starts Here ✅ Mid Level (2–5 yrs) Roles: Data Scientist, BI Developer, ML Engineer I Skills: Advanced ML, Feature Engineering, Cloud 💰 Significant Salary Jump ✅ Senior Level (5–8 yrs) R

Designed for beginners to data science, this course will teach you everything from SQL, statistics to Tableau that you will make you a BI expert. Here are some more details of what you'll learn: 1. Become an expert in Statistics, SQL, Tableau and problem solving 2. How to gather, organize, analyze and visualize data and present in forms of metrics, KPIs, reports and build dashboards 3. How to extract data from a database writing your own queries 3. How to combine SQL and Tableau to visualize dat