Data Days: The Certification Series

10:00 오후 - 11:00 오후 (UTC)

Thinking about tackling DP-700? Whether you are building on Power BI experience, working in data engineering today, or exploring Microsoft Fabric for the first time, this session will help you get your bearings and move forward with confidence. We will break down the core areas of the DP-700 exam and what they mean in practice, including working with data pipelines, transformation, orchestration, storage, and managing data solutions in Microsoft Fabric. You will see how these concepts connect and what skills actually matter. You will also walk away with a practical approach to studying, including how to prioritize your time and where to focus your effort. If you want to dig deeper, we will point you to on-demand sessions by topic so you can continue building your skills at your own pace.

3:00 오후 - 4:00 오후 (UTC)

Thinking about tackling DP-700? Whether you are building on Power BI experience, working in data engineering today, or exploring Microsoft Fabric for the first time, this session will help you get your bearings and move forward with confidence. We will break down the core areas of the DP-700 exam and what they mean in practice, including working with data pipelines, transformation, orchestration, storage, and managing data solutions in Microsoft Fabric. You will see how these concepts connect and what skills actually matter. You will also walk away with a practical approach to studying, including how to prioritize your time and where to focus your effort. If you want to dig deeper, we will point you to on-demand sessions by topic so you can continue building your skills at your own pace.

10:00 오후 - 11:00 오후 (UTC)

Ready to take on DP-600? Whether you are coming from Power BI, exploring Microsoft Fabric, or starting fresh, this session will help you understand what to focus on and how to get started. In this session, we will walk through the key topics covered in the DP-600 exam, including data ingestion, transformation, modeling, visualization, and managing analytics solutions in Microsoft Fabric. You will get a clear view of what is expected and how the pieces fit together. We will also share practical guidance on how to approach your learning and where to focus your time. If you want to go deeper, we will point you to on-demand sessions for each topic so you can keep learning at your own pace.

3:00 오후 - 4:00 오후 (UTC)

Ready to take on DP-600? Whether you are coming from Power BI, exploring Microsoft Fabric, or starting fresh, this session will help you understand what to focus on and how to get started. In this session, we will walk through the key topics covered in the DP-600 exam, including data ingestion, transformation, modeling, visualization, and managing analytics solutions in Microsoft Fabric. You will get a clear view of what is expected and how the pieces fit together. We will also share practical guidance on how to approach your learning and where to focus your time. If you want to go deeper, we will point you to on-demand sessions for each topic so you can keep learning at your own pace.

3:00 오후 - 4:00 오후 (UTC)

Getting started with PL-300? Whether you are new to Power BI or looking to formalize your experience, this session will help you understand the path ahead and what to focus on first. We will walk through the core areas of the Power BI Data Analyst certification exam by following the journey your data takes, from preparing and modeling your data to building reports and delivering insights through effective visualizations. You will see how each step builds on the next and how it all comes together to tell clear, compelling data stories. We will also share practical tips for building your skills, approaching the exam, and gaining hands-on experience along the way. If you want to go deeper, we will point you to on-demand sessions for each topic so you can continue learning at your own pace.

7:00 오후 - 8:00 오후 (UTC)

Not sure where to start? With options like PL-300, DP-600, DP-700, DP-800, and DP-900, it is easy to feel stuck before you even begin. In this session, we will break down each exam and the role it maps to, from Power BI Data Analyst to Fabric Analytics Engineer, Fabric Data Engineer, and SQL AI Developer. You will get a clear sense of what each exam covers, how they differ, and which one fits your background, interests, and goals. We will also share practical tips on how to choose your path with confidence so you can avoid spending time on the wrong thing and focus on what actually moves you forward. By the end, you will know exactly where to start and what to do next.

10:00 오후 - 11:00 오후 (UTC)

Getting started with PL-300? Whether you are new to Power BI or looking to formalize your experience, this session will help you understand the path ahead and what to focus on first. We will walk through the core areas of the Power BI Data Analyst certification exam by following the journey your data takes, from preparing and modeling your data to building reports and delivering insights through effective visualizations. You will see how each step builds on the next and how it all comes together to tell clear, compelling data stories. We will also share practical tips for building your skills, approaching the exam, and gaining hands-on experience along the way. If you want to go deeper, we will point you to on-demand sessions for each topic so you can continue learning at your own pace.

3:00 오후 - 4:00 오후 (UTC)

Getting ready for exam day? This session is all about helping you walk in prepared and walk out confident. We will break down what the exams are really like, including the types of questions you will see, how they are structured, and what can catch people off guard. You will hear directly from people who have taken and passed these exams, so you get real insight into what works and what does not. We will also share practical strategies for studying, managing your time during the exam, and staying focused when it counts. Whether you are just starting your prep or getting close to test day, this session will help you feel ready.