After completing the Azure Data path you’ll have the core skills that you’ll need to ingest, store and analyse data on Azure. You’ll start by learning the basics of how Azure works, what its foundational services are and how they fit together. From there you’ll get hands on with Azure’s core data and machine learning services and prepare for your Data Scientist Associate certification. You’ll take things to the next level by learning more machine learning through Jupyter Notebooks and the nitty gritty of building data solutions on Azure by preparing for your Data Engineer Association certification. To crown it off you’ll gain Azure development skills to better deploy and manage your data pipelines. These learning paths are flexible. Whether you're new to Azure Data or looking to take your skills to the next level, you can skip what you know and start at the appropriate lesson. And like all ACG learning, these paths have a major focus on practical learning using hands-on labs. This path includes four certifications: Microsoft Certified: Azure Fundamentals, Microsoft Certified: Data Scientist Associate, Microsoft Certified: Data Engineer Associate, Microsoft Certified: Azure Azure Developer Associate
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