Microsoft - Analytics and AI

^{Now more than ever,}

^{Leveraging advanced analytics and machine learning to drive insights for data-driven decisions is key to an organization’s competitive advantage.}

^{With data becoming so accessible to everyone, organizations need to ensure that that their data is hygienic and unified, and that users have access to up-to-the-minute insights that allow them to make informed decisions that drive their businesses forward.}

^{These emergent trends underscore the critical importance of strong and proven skills in the data and AI space competitive skills that are increasingly difficult for employers to find.}

^{(IDC, 2017*)}

All data businesses need to be analytic businesses
Without analytics, data is a cost center, not a resource

^{Data is an incredible asset, but companies must bring together their organization-wide data estate to accelerate the creation of value from that data. Companies need to empower their entire organization to apply data in a responsible and safe way. But first, organizations must unify their data estate across many data silos. The Microsoft Intelligent Data Platform can help achieve all of this.}

^{Microsoft Intelligent Data Platform is the only cloud data platform that empowers organizations to invest more time creating value rather than integrating and managing their data estate. Focus resources on achieving business outcomes, not tangential activities. Microsoft Intelligent Data Platform enables organizations to easily pivot and adapt in rapidly evolving landscapes, add layers of intelligence to their applications, unlock predictive insights, and govern their data anywhere. Microsoft Intelligent Data Platform is data agility delivered.}

Data-driven
transformations yield significant benefits:

^{Companies who embrace a

data-driven culture experience a}^{4x improvement}^{in revenue performance & better customer satisfaction.}

^{Data & AI will add}^{$13 trillion}^{in global GDP by 2030.}

^{IDC predicts that by 2025, just 5 years from now, the world’s data will climb to}^{175 zettabytes}^.

All data businesses need to be analytic businesses.
Without analytics, data is a cost center, not a resource.

^{Data science empowers us to further}

^{AI/ML creates smarter organizations}

^{Businesses need scalable analytics}

^{Drive digital transformation with the Microsoft Intelligent Data Platform}

Analytic businesses need to evolve data science.

Every business has opportunities to make analytics faster, easier, and more helpful.

Ready to start?

Certifications that Transform:
Master the Future of Data and AI

^{These certifications are focused on validating your skills in cutting-edge technologies that are changing how organizations think about and leverage data in their digital transformation journey:}

^{Featured Courses}

^DP-203T00:
^{Data Engineering on Microsoft Azure}

^→^{Find Out More}

^DP-100T01:
^{Designing and Implementing a Data Science Solution on Azure}

^→^{Find Out More}

^DP-300T00:
^{Administering Relational Databases on Microsoft Azure}

^→^{Find Out More}

^DP-420T00:
^{Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB}

^→^{Find Out More}

^DP-500T00:
^{Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI}

^→^{Find Out More}

^{Showcasing Your Skills:

Elevate Your Profile with Microsoft}

Pursuing a data and AI certification with Microsoft helps showcase your skills to both current and potential employers, proving that you have the skills to help them to implement their intelligent cloud and intelligent edge strategies.

Featured Blogs

Dive Deeper into Azure Certifications

^{Azure Certification Path 2023:}
^{Where to start with Azure Certifications}

^→^{Read More}

^{Microsoft Certification 2022:}
^{10 Reasons to Earn a MSFT Certification}

^→^{Read More}

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