Applied Data Science With Python Full Course 2026 | Applied Data Science With Python | Simplilearn
Jun 15, 2026âąChannel
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Published1 month ago
Duration7:10:53
Video IDu4eG07qnJQ0
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This video on ""Applied Data Science With Python Full Course 2026"" by Simplilearn will help you learn the core concepts of data science using Python in a structured and practical way. It covers Python basics, data analysis, NumPy, Pandas, statistical concepts, and data visualization to help you build a strong foundation in applied data science. The course also introduces essential topics like exploratory data analysis, machine learning, and real-world Python projects for hands-on learning. It is designed for beginners and aspiring data professionals who want to understand how Python is used in data science workflows. By the end of this course, you will get a clear idea of how to work with data, extract insights, and apply Python tools effectively in real scenarios.
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âĄïž About Data Science Course
This online Data Science course equips you with end-to-end skillsâfrom Python refresher, SQL, Data visualization to advanced statistics, deep learning and machine learning workflows. Youâll build real projects, apply GenAI, understand LLMs and RAG, and develop production-ready models through capstones and MLOps electives.
Key Features
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Learn through an AI-driven curriculum covering Python, SQL, advanced statistics, ML,DNNs and more
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Strengthen your expertise in GenAI, LLMs, RAG, MLOps, Fabric ML, Azure ML and PowerBI with AI integration
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Gain live, interactive guidance from industry experts across modules
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Earn an industry-recognized Data Science Masterâs certificate from Simplilearn
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Build hands-on proficiency with leading data science tools, ML frameworks, and AI-driven tools
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Capstone from 3 domains and 15+ projects
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Get lifetime access to self-paced learning resources for continuous skill growth
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Program crafted to initiate your journey as a Data Scientist
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Integrated labs for hands-on learning experience
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Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
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Database Management SQL
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Core Python Programming
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Data Manipulation amp Analysis
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Exploratory Data Analysis
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Descriptive Statistics
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Inferential Statistics
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Explainable AI
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Conversational AI
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Large Language Models
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Model Building and Finetuning
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Ensemble Learning
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Data Visualization
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Deep Learning Frameworks
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Data Science
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Supervise and Unsupervised Learning
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Generative AI amp LLMs
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MLOps
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