Dear READERS,

As data platforms continue to evolve, expectations for data professionals are changing. Today, analyzing data is only part of the role — modern data professionals also need the skills to build, manage, and optimize the systems that make analytics possible.

The Microsoft Fabric Analytics Engineer Professional Certificate helps learners develop in-demand skills for designing and delivering modern analytics solutions.

Through this program, you’ll learn how to:

  • Design scalable lakehouse architectures using modern data patterns

  • Automate and orchestrate pipelines with PySpark and Data Factory

  • Develop real-time analytics using Eventstream, KQL, and Power BI

  • Secure, govern, and deploy solutions using CI/CD workflows

Through hands-on, portfolio-ready projects, you’ll gain experience building end-to-end analytics systems and earn a Microsoft-backed Professional Certificate to showcase your readiness for analytics engineering and data platform roles.

Continue Building Your Data Skills

Microsoft
Microsoft Data Analysis with SQL, Excel & Power BI
Build foundational skills in data analysis, SQL, Excel, and Power BI.
https://www.coursera.org/learn/microsoft-data-analysis

Microsoft
Microsoft Data Architecture for Modern Data Stacks
Learn modern data architecture concepts and scalable data solutions.
https://www.coursera.org/

Google
Google Advanced Data Analytics Professional Certificate
Develop advanced analytics skills, including statistics, Python, regression, and machine learning.
https://www.coursera.org/professional-certificates/google-advanced-data-analytics

Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Learn how to design and manage data solutions using Google Cloud technologies.
https://www.coursera.org/google-cloud

Coursera
SQL for Data Analysis and Business Insights
Strengthen SQL skills for data analysis and business decision-making.
https://www.coursera.org/

Coursera
Data Science Beyond the Basics (ML + DS)
Continue building knowledge in machine learning and data science.
https://www.coursera.org/