#Azure Data Science With Python

Your Complete Data Science Roadmap in 11 Videos 🚀 🔖Save this post → Your future self will thank you Stop jumping between courses. These 11 playlists cover EVERYTHING you need to become job-ready in Data Science & AI: 📊 Foundation Layer: → Python for Data Science - Nicholas Renotte (5hrs) → DSA in Python - CampusX (Mega Video) → Statistics for Data Science - Krish Naik (6hrs) 💼 Data Analytics Stack: → Ultimate Data Analyst Bootcamp - Alex The Analyst (24hrs) SQL | Excel | Tableau | Power BI | Python | Azure 🤖 Machine Learning & Deep Learning: → 100 Days of ML - CampusX → 100 Days of DL - CampusX → Neural Networks: Zero to Hero - Andrej Karpathy ⚡ Modern AI Stack: → FastAPI - Tech With Tim → Generative AI with LangChain - CampusX → Agentic AI with LangGraph - CampusX Bonus: → Databricks Data Engineer Certification - FreeCodeCamp Each playlist = One skill mastered. Follow this sequence, build projects alongside, and you'll have a portfolio that stands out. All videos are FREE. No excuses. Just consistent effort. Which skill are you starting with? Drop it in comments 👇 📲 Follow @datasciencebrain #datasciencebrain for Daily Notes 📝, Tips ⚙️ and Interview QA🏆 . . . . . . [datascienceroadmap, airoles, mlengineerpath, datasciencejobs, analyticscareer, datatechskills, mlopsengineer, dataengineerskills, aiindustrytrends, techlearningguide] #datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp

Let’s build a Data Analyst AI agent together (WITHOUT writing code) I’m using n8n for this. This is one of my favorite no-code automation tools. If you’d like to see a version in Python, let me know! #datascience #aiagent #n8n

Best Data Science Books in 2026✨ These are my top picks to read this year if you want to excel in data science, machine learning and AI. Build solid fundamentals, learn how to program confidently ans build ML Algorithms. ✅ Comment “Books” to get links in DM! Follow for more! [books, read, data, software, systems design, data structure, algorthms] #collegestudents #datasciencetraining #blurredai

When I started my journey as an Azure Data Engineer, I had no clue where to begin. But step by step—with Python, SQL, Azure, and Spark—I built my foundation. If you’re also dreaming of a high-paying role in data engineering, I’ve created this roadmap just for you. Let’s grow together, one skill at a time! . . . . Comment Azure DE for detailed roadmap along with resources. {Datascience, Roadmap, Azure, cloud, study, sql, data engineer, dsa, data analyst, data scientist, data, corporate, employment, learning, resources, jio, mnc, placement, data engineer roadmap, faang, job} Doc Link: https://docs.google.com/document/d/1omuBs8s2JKfkHeqx5k5DSvS2nzAS00Me90IuNZb12-E/edit?usp=drivesdk

Agentic AI: A Step-by-Step Roadmap 1️⃣ Python Mastery: FastAPI, async programming, API handling 2️⃣ Transformers: GPT, LLAMA, Mistral & more! 3️⃣ Retrieval-Augmented Generation (RAG): Data collection, chunking, vector storage 4️⃣ AI Agent Frameworks: CREW-AI & LangGraph 5️⃣ Tools & Techniques: Web search & prompt engineering 6️⃣ AI Monitoring: LangSmith 7️⃣ Deployment: AWS or Azure #AgenticAI #AI #DataScience

Required Python for data analyst role with resources link :- First complete Python Basics from below mentioned course https://www.youtube.com/watch?v=kqtD5dpn9C8&t=1786s Practice 150 Python Basic question from below link to get aware about syntax - https://www.w3resource.com/python-exercises/basic/ Complete below course of python data analysis using pandas, numpy, matplotlib and seaborn - https://www.youtube.com/watch?v=r-uOLxNrNk8&t=683s Complete atleast 3-4 case study from below playlists - https://youtube.com/playlist?list=PL_1pt6K-CLoDMEbYy2PcZuITWEjqMfyoA Practice Python interview questions for data scientist role (only try upto medium level) - https://datalemur.com/python-interview-questions Python Project (Optional) - https://lnkd.in/emzcrzTX #python #dataanalyst #interview #datascience

🚀 Master Data Structures & Algorithms in Python: Your Detailed Roadmap! And Projects ✅Save for later💎 Follow this step-by-step guide to become a DSA pro in Python: Week 1: Arrays & Strings Learn the basics of arrays, strings, and their operations. Practice problems: Reverse a string, find the maximum subarray sum. Week 2: Linked Lists & Recursion Understand linked lists and the power of recursion. Practice problems: Reverse a linked list, detect cycles in a linked list. Week 3: Stacks & Queues Master the implementation and applications of stacks and queues. Practice problems: Implement a stack using queues, evaluate postfix expressions. Week 4: Trees & Binary Search Trees Explore tree traversal methods and BST properties. Practice problems: Inorder traversal, check if a tree is balanced. Week 5: Graphs & Graph Algorithms Dive into graphs, BFS, DFS, and shortest path algorithms. Practice problems: Implement BFS and DFS, find the shortest path in a graph. Week 6: Sorting & Searching Algorithms Learn and implement key sorting algorithms and binary search. Practice problems: Merge sort, quick sort, binary search in a rotated array. Week 7: Dynamic Programming Understand the principles of dynamic programming and common patterns. Practice problems: Fibonacci sequence, longest common subsequence. Week 8: Advanced Topics & Problem-Solving Tackle advanced DSA topics like segment trees and trie data structures. Practice problems: Implement a trie, solve range queries with segment trees. You can get the projects: 1. Follow @code_matrix7 2. Comment "Project" 3. DM me this reel I will share the projects in your DM✅ #python #pythonprojects #learnpython #computerscience #projects #ai #freeprojects #softwaredeveloper #fullstackdeveloper #html #css #htmlcss

Python wasn't built to be trendy - it was built to be useful. Guido van Rossum created Python because C was powerful but unsafe, and shell scripts were too limited in scope. He wanted a language that was easier to use, safer than C, and smart enough to handle things like memory management and bounds checking - without slowing developers down. That decision is why Python powers Al, machine learning, data science, automation, and startups worldwide today. Sometimes the best tech isn't invented to impress it's invented to solve a real problem. Do you think Python is still the best beginner-friendly language in 2026? Follow @realbigbrainai to stay up to date with the latest Al news.

Roadmap to go from knowing basic Python to becoming ML Pro

Resources to learn DevOps 🔥 1. DevOps Roadmap 🧙‍♂️ YT : Hitesh Choudhary 2. DevOps as a career ⚠️ YT : Techworld with Nana 3. DevOps Roadmap 👀 YT : Kunal Kushwaha All the resources are free 🆓 on Youtube ❄️ #devops #aws #cloudcomputing #linux #python #cloud #technology #programming #developer #coding #kubernetes #devopsengineer #azure #cybersecurity #software #java #it #datascience #tech #docker #javascript #softwaredeveloper #css #machinelearning #iot #microsoft #softwareengineer #ai #devopstools #jenkins

Data Science Roadmap for 2025 🔥🔥 ——————————————————————- BEPEC Full Stack Data Science Job-Focused Program with Internship is unique with Agenda, Projects, Resume, Mock Interviews and Mentorship. 📚 We take every learner from zero to Job-Ready on programming to working on Machine Learning, Deep Learning Model Deployments and working on different programming languages like R, Python, Spark, H20, Tensorflow, Keras, AWS Sagemaker, e.t.c. 🕑⏳ We host our Job-Focused Programs with Limited Slots. If anyone interested please book your slots, Whatsapp Us Here: +919347125815 or Visit our Website: www.bepec.in #data #datascience #dataanalytics #datascientist #datavisualization #dataanalysis #sql #powerbi #tableau #dataengineer #pyspark #python #programming #coder #artificialintelligence #generativeai #genai #machinelearning #statistics #probability #analytics #aws #azure #bigdata #mlops #career #technology #reels

Comment “Projects” for Video link 🔗 📱 Follow @amanrahangdale_2108 for more Free Courses, Tech Updates, and Career Tips every week 💡