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In this video, we will walk you through a complete Python roadmap for 2026 in a simple and beginner-friendly way. You will understand what Python is, why it is one of the most popular programming languages today, and what you should learn step by step to build strong fundamentals. From basics like variables, loops, and functions to data structures, file handling, OOP, problem solving, and real projects, this video covers the full journey clearly. We also explore different career paths you can choose after Python, including web development, automation, data analysis, Machine Learning, AI, and cybersecurity. Whether you are a beginner, student, or job seeker, this roadmap will help you learn Python in the right order and avoid common mistakes. Watch till the end and start your Python journey with confidence.
Following are the topics covered in this tutorial on "Python Roadmap For Beginners 2026"
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➡️ About Data Science Course
This online Data Science course equips you with end-to-end skills—from Python refresher, SQL, Data visualization to advanced statistics, deep learning and machine learning workflows. You’ll build real projects, apply GenAI, understand LLMs and RAG, and develop production-ready models through capstones and MLOps electives.
Key Features
✅ Learn through an AI-driven curriculum covering Python, SQL, advanced statistics, ML,DNNs and more
✅ Strengthen your expertise in GenAI, LLMs, RAG, MLOps, Fabric ML, Azure ML and PowerBI with AI integration
✅ Gain live, interactive guidance from industry experts across modules
✅ Earn an industry-recognized Data Science Master’s certificate from Simplilearn
✅ Build hands-on proficiency with leading data science tools, ML frameworks, and AI-driven tools
✅ Capstone from 3 domains and 15+ projects
✅ Get lifetime access to self-paced learning resources for continuous skill growth
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
✅ Database Management SQL
✅ Core Python Programming
✅ Data Manipulation amp Analysis
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Deep Learning Frameworks
✅ Data Science
✅ Supervise and Unsupervised Learning
✅ Generative AI amp LLMs
✅ MLOps
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