I was chatting with a colleague earlier this week and they mentioned that Power BI intimidates them. Dashboards, DAX, data models… I get it. It feels like you needed a translator just to get started. But that’s exactly why the PL-300 livestream series is so useful. 

Creating a Power BI report is only half the story. How you tell the story behind your data (your design choices, your analytical thinking, and how users interact with your report)  matters just as much.

In this edition, we’re exploring data relationships and how to make sense of them using Microsoft Fabric and the SemPy library. By the time you’re done with this, you’ll have a clear approach to mapping out your data, visualizing those connections, and making sure everything checks out. And because no dataset is perfect, we’ll also dive into validation - making sure your data is as solid as you need it to be.

In this edition, you'll learn how to transform your approach to big data using the powerful integration of Azure OpenAI, SynapseML, and Microsoft Fabric. You'll explore how Azure OpenAI acts as the brain for natural language understanding and generation, while SynapseML serves as the computational muscle for scalable machine learning. By the end, you'll be equipped with the knowledge and confidence to create AI-driven workflows that deliver actionable insights and drive impactful decisions.

In this edition, you’ll understand what Data Wrangler is and how it fits into your data preparation toolkit. Whether you’re an experienced analyst or someone stepping into the world of data, this read will equip you with practical knowledge to handle data preparation like a pro.

In this edition, you’ll gain an understanding of SemPy and its transformative role within Microsoft Fabric. Whether you're taking your first steps into semantic modeling or you’re a seasoned pro looking to streamline your workflow, this read is designed to meet you where you are and elevate your capabilities.

In this edition, we'll walk through what’s new and upcoming for Fabric Data Science and understand why these updates are worth your attention. Whether you’re a senior data scientist or someone just getting started, there’s something here for you. I think this is a big deal, and I can't wait to share with you exactly what's coming and how these updates will make your data science work more efficient, powerful, and downright enjoyable.