Want to become a data and analytics whiz? These sessions can help you get there.

Want to become a data and analytics whiz? These sessions can help you get there.

Connecting to data is often the first place to begin when starting a new Power BI report. This course will teach you the skills and techniques for connecting to a wide range of data sources from Power BI.

To model your data in Power BI, you need to clean it up first. In this course, you will learn to use Power Query, including how to navigate the Power Query editor, add data transformation steps, fix errors, and make advanced changes.

Power BI is one of the most exciting tools used to visualize and analyze data. This course will teach you the basics of sharing data with Power BI, including the Power BI security model, sharing reports, apps and app workspaces, and more.

Learn how to use SQL to perform fast and efficient data analysis

Learn to predict future outcomes and trends through statistical modeling techniques.

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

Dive into predictive analytics with SQL Server. This course will teach you to construct models, apply regression, and utilize smoothing techniques for insightful time series analysis.

Learn predictive data analysis techniques using Python, focusing on forecasting, modeling, and data-driven decision-making strategies.

You'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.

Designing reports for enterprise scale requires more than just connecting to data. Understanding Power BI model frameworks and strategies for scalability and optimization are key to a successful enterprise implementation. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.