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Python for Data Analysts Python for Data Analysts @pythonanalyst · 51.8K subscribers
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🚀 The Ultimate Data Science Roadmap — 2025 Edition

Ready to start or upgrade your Data Science journey? Here’s your quick guide from basics to Gen AI 👇

🧮 1️⃣ Math & Stats – Master algebra, probability & calculus — the core of ML & AI.

💻 2️⃣ Python & SQL – Learn Python (NumPy, APIs, OOPs) & SQL for data wrangling.

📊 3️⃣ Excel – Still key for quick analysis, pivot tables & data cleaning.

📈 4️⃣ Data Analysis – Do EDA, build dashboards (Power BI/Tableau), and visualize with Pandas.

🤖 5️⃣ Machine Learning – Start with regression, classification & model tuning.

🧠 6️⃣ Deep Learning – Learn CNNs, RNNs & model deployment for CV & NLP.

⚙️ 7️⃣ Generative AI & LLMs – Explore RAG, AutoGPT & reasoning frameworks.

🤯 8️⃣ Agentic AI – Dive into LangChain, OpenAI APIs & intelligent agents.

🎯 Pro Tip:
Don’t rush. Be consistent. Build projects, join Kaggle, and solve real problems — that’s where real learning happens.
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