@datascibykashi: Not every data career requires the same skills. Your choice depends on what you enjoy: business, statistics, coding, AI, or building systems. 👇 📊 1. DATA ANALYST You enjoy: Finding insights and answering business questions. Learn: • Excel • SQL • Statistics • Python • Data Visualization • Power BI / Tableau 👉 Typical work: Clean → Analyze → Visualize → Explain 🔬 2. DATA SCIENTIST You enjoy: Statistics, experiments, prediction, and machine learning. Learn: • Python • SQL • Statistics • Probability • Machine Learning • Data Visualization • Feature Engineering 👉 Typical work: Question → Data → Analysis → Model → Insight 🤖 3. MACHINE LEARNING ENGINEER You enjoy: Coding and turning ML models into real products. Learn: • Python • ML/DL • Software Engineering • APIs • Docker • Cloud • MLOps 👉 Typical work: Model → Deploy → Monitor → Scale 🧠 4. AI / GENAI ENGINEER You enjoy: Building applications powered by modern AI. Learn: • Python • LLMs • Prompt Engineering • RAG • Vector Databases • AI Agents • APIs • Evaluation 👉 Typical work: LLM → RAG/Tools → Application → Evaluation 📈 5. DATA ENGINEER You enjoy: Building the infrastructure that makes data usable. Learn: • SQL • Python • Databases • ETL/ELT • Data Warehouses • Spark • Cloud 👉 Typical work: Collect → Transform → Store → Serve 🧮 6. BI / BUSINESS INTELLIGENCE ANALYST You enjoy: Turning business data into dashboards and decisions. Learn: • SQL • Excel • Power BI / Tableau • Data Modeling • KPIs • Business Analytics 👉 Typical work: Data → Dashboard → KPI → Decision 🧭 QUICK CAREER MAP Love business + dashboards? → Data Analyst / BI Analyst Love statistics + ML? → Data Scientist Love coding + production systems? → ML Engineer Love LLMs + AI applications? → AI / GenAI Engineer Love databases + pipelines? → Data Engineer Love research + advanced AI? → AI Research / ML Research 💡 The important part: You don’t have to choose your entire career on day one. A strong foundation in: Python + SQL + Statistics + Data Analysis can open the door to multiple paths. Then specialize based on what you enjoy building. 🚀 Learn the foundation. Build projects. Explore different roles. Then specialize. 📌 Save this as your Data & AI Career Map. #DataScience #DataAnalytics #AI #creatorsearchinsights #datascientist

Data Scientist | Kashi

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Thursday 17 September 2026 17:05:35 GMT