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Data Science Roadmap 2026 (From Beginner to Job Ready)|sql,powerbi,seaborn,scikit-learn,pandas

If you want to build a career in Data Science or AI, this video explains a real industry roadmap followed by top companies in 2026.

Reality check:
Most beginners follow the wrong learning path and struggle to get a job. This video shows a clear and structured path from beginner to jobready level.
What You Will Learn

Python for Data Science (foundation)
SQL for data handling and queries
Data analysis using Pandas and NumPy
Machine Learning with Scikitlearn
Advanced models such as XGBoost and LightGBM
MLOps tools including MLflow and Airflow
Deployment using FastAPI and Docker
Cloud platforms such as AWS and GCP
Who This Video Is For

Beginners in Data Science
College students
Career switchers moving into tech
Important Insight

Learning tools alone is not enough. To succeed in Data Science, you need strong projects, consistent practice, and problemsolving ability.
Pro Tip

Build 3 to 5 strong realworld projects to become jobready in Data Science
Keywords

Data Science 2026, AI Roadmap, Machine Learning Roadmap, Data Science for Beginners, Learn Data Science, AI Career Guide, Data Science Projects, Python for Data Science, SQL for Data Science, MLOps, FastAPI, Docker, AWS, GCP
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About the Instructor:
Hi, I am Amit Srivastava, a Senior AI & Full Stack Engineering Trainer. I specialize in building and teaching high-end, real-world applications. My mission is to bridge the gap between learning and industry-level implementation.

🚀 I provide expert-level training in:

Artificial Intelligence: Generative AI, LLMs, AgentAI, Deep Learning (DL), & Machine Learning (ML).

Data Science: Complete Data Science Lifecycle & Analytics.

Full Stack Development: MERN Stack, Python Full Stack, .NET Core, & Java Full Stack.

🔗 Follow my journey for more tech insights: @aiprojectswithamit
Stay ahead in the AI revolution. Subscribe and let's build the future together!

Hashtags

#DataScience2026 #AIRoadmap #MachineLearning #DataScience #AI #Python #SQL #MLOps #FastAPI #Docker #AWS #GCP #AIProjectsWithAmit
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