Data Analyst vs Data Scientist vs Data Engineer – Explained in 90 Seconds 🚀 | Data Roles Explained

Описание: Confused between Data Analyst, Data Scientist, and Data Engineer? 🤔
In this quick 90-second video, I’ll explain what each role actually does — with real-world examples!

📊 Data Analyst — analyzes existing data and finds insights.
🤖 Data Scientist — builds ML models and predicts future trends.
🏗️ Data Engineer — builds data pipelines and manages large-scale systems.

Whether you’re starting your data career or switching paths, this video will help you choose the right direction in 2025! 🚀

🎓 Topics Covered:

Difference between Data Analyst, Data Scientist, and Data Engineer

Tools used by each role

Career path in data industry (2025 roadmap)

Salary potential in India & abroad

🎵 Music Credit:
“Nimbus” by Eveningland
Free to use under the YouTube Audio Library License — no copyright claims.
🎧 Source: YouTube Audio Library
🎨 Visuals made in Canva Pro

📺 Watch more data career videos on Master of Data Science
#datascience #dataanalyst #dataengineer #careerdevelopment #ai #machinelearning #datascience #dataanalyst #dataengineer #careerdevelopment #ai #machinelearning
#deeplearning #python #analytics #bigdata #techcareer #careergoals #datavisualization
#dataanalysis #datacommunity #artificialintelligence #programming #datascientist
#learning #upskill #futuretech #education #coding #pythonprogramming #datasciencelife
#techskills #itcareer #jobready #digitalcareer #careeradvice #masterofdatascience