𝗞𝗲𝘆 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗥𝗼𝗹𝗲𝘀 & 𝗧𝗵𝗲𝗶𝗿 𝗙𝗼𝗰𝘂𝘀

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 Focus: Analyzing data to provide actionable insights, reporting, and trend analysis Skills: SQL, Excel, Data Visualization (Tableau, Power BI)

𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 Focus: Building and maintaining data pipelines, ensuring data flows smoothly across systems Skills: SQL, Python, ETL tools, Cloud Platforms (AWS, Azure)

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 Focus: Building models, statistical analysis, and predictive analytics to solve complex problems Skills: Python, R, Machine Learning, Deep Learning

𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 Focus: Designing, deploying, and managing machine learning models in production environments Skills: TensorFlow, PyTorch, Docker, Kubernetes

𝗗𝗮𝘁𝗮 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 Focus: Structuring and organizing data within an organization to support data strategy and growth Skills: Data Modeling, Big Data, Cloud Platforms (AWS, GCP), SQL

𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 Focus: Handling and processing large datasets, often using distributed computing Skills: Hadoop, Spark, Kafka, Big Data technologies

𝗕𝗶 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 Focus: Transforming raw data into meaningful insights through dashboards and reports Skills: SQL, Power BI, Tableau, Data Warehousing

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 Focus: Leading data analytics projects and aligning them with business goals Skills: Project Management, SQL, Data Analysis, Communication

𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝘀𝘁 Focus: Developing data strategies to meet organizational objectives and driving data-driven decisions Skills: Data Governance, Analytics, Communication

📕 400+ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: https://lnkd.in/gv9yvfdd

📘 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 : https://lnkd.in/gPrWQ8is

📙 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗟𝗶𝗯𝗿𝗮𝗿𝘆: https://lnkd.in/gHSDtsmA

📗 45+ 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀 𝗕𝗼𝗼𝗸𝘀 𝗘𝘃𝗲𝗿𝘆 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗡𝗲𝗲𝗱𝘀: https://lnkd.in/ghBXQfPc