Introduction to Data Analytics on Microsoft Azure Cloud

Learn Azure SQL Database, Synapse and Stream Analytics, Data Factory & Pipeline design, Power BI with Practical Labs

Microsoft Azure is one of the most popular public clouds in the industry. Nearly all of the Fortune 100 companies are moving to the cloud, and being able to work with it is one of the most important skills for every developer, architect, or IT admin.

This course is designed for the students who are at their initial stage or at the beginner level in learning data analytics, cloud computing data visualization and Analytics using the Microsoft Azure Cloud Services.

This course focuses on what cloud computing is, followed by some essential concepts of data analytics. It also has practical hands-on lab exercises which covers a major portion of importing and performing some Analytics on the datasets.

The ETL tool used is Azure Data factory and analytics is performed using a visual tool known as Power BI. The lab portion covers all the essentials of the Azure SQL Databases, Azure Synapse Analytics, Azure Stream Analytics, Azure Data Factory and Power BI. Starting from importing the datasets, loading it, performing powerful SQL queries and then analyzing the same data using the queries and visual graphical tools are all covered in great detail.

Again experience with Cloud Azure services taught in this course will give you an edge in the job market and will position you for a successful career.

Requirements

• Existing Azure Account
• PC/Laptop with Internet Connection
• No Prior Programing Experience is required

Who this course is for:

• Beginners in Data Visualization, Data Warehousing.
• Students at their initial stage of learning Microsoft Azure Web Services.
• Students at their initial stage of learning AWS SQL Databases.
• Students at their initial stage of learning AWS Synapse Analytics.
• Beginners in learning Azure Data Factory (ADF) for ETL Service
• Students at their initial stage of learning AWS Stream Analytics.