Python for Data Science Full Course 2026 [Free] | Learn Data Science With Python | Simplilearn

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This video on Python for Data Science Full Course 2026 by Simplilearn, is designed to help beginners learn how Python is used in real-world data science projects. You’ll start with Python basics and gradually move into data analysis, data manipulation, and visualization using popular libraries like NumPy, Pandas, and Matplotlib. The course explains core data science concepts in simple terms with practical examples. You’ll also understand how Python supports data-driven decision-making across industries. By the end of this free course, you’ll be confident using Python for data science tasks and ready to move toward advanced analytics and machine learning. Perfect for students, professionals, and anyone starting a career in data science.

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➡️ About Applied Generative AI Specialization

This Applied Generative AI course equips you to develop AI-powered applications using industry-relevant tools and frameworks. Build expertise in key concepts like prompt engineering, GANs, VAEs, and LLM architectures while exploring advanced topics, including agentic AI, LLM fine-tuning, RAG, and AI governance for practical, real-world deployments.

Key Features

✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Program completion certificate from Simplilearn
✅ 70+ hours of live, instructor-led training with industry experts
✅ Hands-on learning with 7+ real-world projects and a capstone project
✅ Master in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
✅ Gain expertise with cutting-edge tools such as ChatGPT, Azure AI Studio, and LangChain
✅ Comprehensive curriculum covering AI Literacy, Agentic Frameworks, and Generative AI
✅
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Course completion certificate hosted on the Microsoft Learn portal for Microsoft courses
✅ Learn with a diverse cohort of professionals from industries like IT, banking, and education

Skills Covered
✅ Python Programming
✅ Prompt Engineering
✅ AI Literacy
✅ Generative AI Fundamentals
✅ Large Language Model LLM Architecture
✅ Agentic AI and Autonomous AI Agents
✅ LangChain for Workflow Design
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning and Customization
✅ Stable Diffusion
✅ Explainable AI
✅ Variational Autoencoders VAEs
✅ Transformers and Attention Mechanism
✅ GenAI Application Development
✅ LLM Benchmarking and Evaluation
✅ Generative AI Governance and Ethics

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