#Data Science With Python

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#Data Science With Python Reel by @sundaskhalidd (verified account) - Comment 'Projects' to get 5 Data Scientist Project ideas and a plan 👩🏻‍💻 ♻️ repost to share with friends. Here is how to become a data scientist i
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@sundaskhalidd
Comment ‘Projects’ to get 5 Data Scientist Project ideas and a plan 👩🏻‍💻 ♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond 📈 the original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v what are other skills that you would add to the list and let me know what I should cover in the next video 👩🏻‍💻 #datascientist #datascience #python #machinelearning #sql #ai
#Data Science With Python Reel by @swerikcodes (verified account) - If I was a beginner learning to code, I would use this Python roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #codingti
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@swerikcodes
If I was a beginner learning to code, I would use this Python roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #codingtips #cs #python #computerscience #usemassive
#Data Science With Python Reel by @jessramosdata (verified account) - Save these fun python games for later! Learning to code for data science and data analytics doesn't have to be boring😉 CodeMonkey: https://www.code
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@jessramosdata
Save these fun python games for later! Learning to code for data science and data analytics doesn’t have to be boring😉 CodeMonkey: https://www.codemonkey.com/courses/banana-tales/ Codewars: https://www.codewars.com/collections/basic-python CodeCombat: https://codecombat.com/play CheckiO https://py.checkio.org/ #python #coding #programming #learn #pythondeveloper #tech #games #dataanalytics #datascience
#Data Science With Python Reel by @_papamurph (verified account) - 🐍Learning Python with AI 🔸️In this class, we're training students to learn Python faster with AI collaboration! 🔸️Here, Aidan uses ChatGPT to rec
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@_papamurph
🐍Learning Python with AI 🔸️In this class, we're training students to learn Python faster with AI collaboration! 🔸️Here, Aidan uses ChatGPT to recreate a version of the classic arcade game Asteroids. 🔸️This is Aidan's 12th day of Python programming. 🔸️"But WAIT, if students don't learn procedural and syntax fundamentals, they'll never be able to troubleshoot their own code!" 🔸️Yes. I agree with you. I'm teaching them the basics and not overlooking the critical fundamentals. You're right. 🔸️Also, it's important to show them the capabilities offered through collaborating with a powerful tool and how to use it as a learning aid, ather than a shortcut. This is critical! @cvcc.va @a3_automate 🔸️Do you think programming is still a valuable skill given modern technology?
#Data Science With Python Reel by @volkan.js (verified account) - Comment "DATA" for the links. You Will Never Struggle With Data Science Again 📌 Learn the most important foundations with these beginner-friendly r
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@volkan.js
Comment "DATA" for the links. You Will Never Struggle With Data Science Again 📌 Learn the most important foundations with these beginner-friendly resources: 1️⃣ Learn Python for Data Science – FreeCodeCamp’s full beginner course 2️⃣ Essence of Linear Algebra – 3Blue1Brown’s visual, intuitive playlist 3️⃣ Statistics – A Full Lecture (2025) – step-by-step breakdown of core stats concepts Stop feeling overwhelmed by Python, statistics, or linear algebra. These tutorials simplify the fundamentals of Data Science with clear explanations, visuals, and real-world examples. Whether you’re preparing for a career in Data Science, getting into machine learning, or just curious about data analysis, this is the fastest way to finally understand how it all fits together. Save this post, share it, and turn confusion into clarity with Python, Stats, and Linear Algebra for Data Science 📊
#Data Science With Python Reel by @maggieindata (verified account) - Comment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊 A good n
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@maggieindata
Comment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊 A good number of portfolio projects is 3–5, and the types of projects you choose should reflect the kind of data role you’re going after. A data analyst portfolio should look very different from a machine learning engineer one. Even within data science, a product/decision data scientist portfolio should focus on A/B testing and metrics storytelling—while an algorithm data scientist portfolio might highlight modeling and experimentation. ✨ Especially if you’re building your very first project, prioritize: 🌱 Real-world messiness (not polished Kaggle sets) 🌱 Business context and decision-making 🌱 Clear documentation (what you did and why) 🌱Visuals to help your work stand out No one’s asking for perfection—they want to see how you think. #datascienceportfolio #dataanalyst #learnpython #codingjourney #techcareers
#Data Science With Python Reel by @datasciencebrain (verified account) - Your Complete Data Science Roadmap in 11 Videos 🚀 🔖Save this post → Your future self will thank you Stop jumping between courses. These 11 playli
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@datasciencebrain
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
#Data Science With Python Reel by @mohcinale - Relaxing Python & Pygame Creations #coding #programming
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@mohcinale
Relaxing Python & Pygame Creations #coding #programming
#Data Science With Python Reel by @the.datascience.gal (verified account) - Here's a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you're tired of writing vanilla apps and want to build ML sy
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@the.datascience.gal
Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]
#Data Science With Python Reel by @shradhakhapra - Python Interview Question #softwareengineer #interview #coding #programming #python
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@shradhakhapra
Python Interview Question #softwareengineer #interview #coding #programming #python
#Data Science With Python Reel by @happycoding_with_prishu - Input and typecasting in python Join daily free live classes of PYTHON on HappyCoding YouTube channel Offline batches are starting very soon in Jai
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@happycoding_with_prishu
Input and typecasting in python Join daily free live classes of PYTHON on HappyCoding YouTube channel Offline batches are starting very soon in Jaipur! #prishu #happycoding#happycodingwithprishu #programming #python #prishugawalia
#Data Science With Python Reel by @shakra.shamim (verified account) - Data Analytics interviews does not require complex Python Programming knowledge. I have created a PDF which contains required Python syllabus and free
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@shakra.shamim
Data Analytics interviews does not require complex Python Programming knowledge. I have created a PDF which contains required Python syllabus and free resources to learn. Please comment “Python” to get the PDF directly to your DM !! #python #coding #programming #2025 #tech #datascience #dataanalytics

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