No, there will be no university credits associated with this specialization.

Upon completing the specialization, you will master Power BI, empowering you to gather, clean, and transform data from diverse sources efficiently. You'll design visually compelling reports and dashboards, leverage advanced analytics for insightful data interpretation, and implement robust data modeling techniques. With the ability to integrate Power BI seamlessly with other platforms and services, you'll be able to tackle real-world data challenges and contribute invaluable insights to any organization or project.

The aim of this course is to empower learners with proficiency in leveraging all the powerful features of Power BI. Dive into tailored scenarios crafted to maximize your utilization of Power BI's capabilities. Visuals charts by importing data from AWS, Snowflake and other data sources analyze them by using Q&A, Language Detection, Cognitive Services etc.

Yes, you will need a Power BI Pro subscription for this course. You can obtain a 60-day trial of Power BI Pro using an onmicrosoft account. This subscription is essential for accessing advanced features, collaborative tools, and sharing reports. Premium features are enabled through workspace settings available in Power BI Pro for a limited amount of time.

The specialization covers a wide range of tools and services, including Power BI Service (Pro), MS SQL Server, Snowflake Cloud, AWS free tier account, and the and ALM toolkit. Some features of Power BI Premium are utilized and explained in this specialization, making learners well rounded in Power BI.

This specialization is designed for individuals looking to advance their skills in data analytics, visualization, and storytelling using Power BI. It is ideal for data analysts, business intelligence professionals, data scientists, and anyone interested in leveraging data for decision-making. Intermediate learners with some experience in data analysis or familiarity with tools like SQL, Excel, or cloud platforms will benefit most, though prior knowledge is not mandatory.

You will learn to preprocess, transform, and manage data for analysis, create interactive reports and dashboards, utilize Data Analysis Expressions (DAX) and AI analytics for business intelligence, and integrate and optimize data sources in Power BI. The specialization also covers data storytelling, advanced analytics, and data connectivity with platforms like AWS, Snowflake, and MS SQL Server.

Yes, the specialization includes hands-on projects, culminating in the Power BI Capstone Project in Course 5. Learners will apply their skills to real-world scenarios, creating dashboards, integrating data sources, and performing data-driven decision-making tasks.

While the specialization covers key Power BI skills such as data modeling, visualization, DAX, and dashboard creation, which align with topics in the Microsoft PL-300 certification (Microsoft Power BI Data Analyst), it is not specifically designed as a certification prep course. However, the skills and hands-on experience gained can help prepare you for the exam.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.