Cloud Data Analytics with Power BI

Introduction to Azure and Power BI

What you'll learn:

• Install and configure Power BI
• Evaluate the various data solution offered by cloud poroviders
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs
• Apply tools and techniques to clean data in preparation for analysis
• Integrate data analytics solutions with a data warehouse
• Mitigate data security risks and ensure data privacy

Free to use; however, this content supports Cloud Data Training Course and is NOT a complete guide to learning Power BI.

The Cloud Data Analytics with Power BI is for beginners to learn how Microsoft offers services for data and capabilities to create visuals for making business decisions. By the end of this course, students will understand how to install and configure Power BI and evaluate various data solutions offered by cloud providers such as Azure. Gain an understanding of the different structures, modeling approaches, and data warehouse design used to store, manage and access Bi Data. Apply tools and techniques to clean data in preparation for analysis. Build reporting and analytics solutions based on cloud data. Integrate data analytics solutions with the data warehouse. Mitigate data security risks and ensure data privacy. This course can be used as a reference tool and introduce specific factors within Cloud solutions.

Preface

This course will help those interested in obtaining, cleaning, and visually analyzing data. To derive insights for better decision-making, leaders today need more and more data stored in databases in technology like the cloud, so it is essential to have a strategy for understanding, managing, and accessing data. Power BI is a creative tool for visualizing data. AW Schultz helps transforms everyday people into data rockstars by streamlining, simplifying, and personalizing the online Power BI experience. Since 2017 AW has helped students and teams across 60 countries develop the most sought-after analytics skills through his courses, personalized skills assessments, curated learning paths, and enterprise training. Learning new skills shouldn't be complicated.

Key Topics

• M Queries

• Perform ETL

• Data Cleaning

• Understanding DAX

  • Evaluation

  • Aggregation

  • Iteration

• Building Relationships