Unlock the Power of Data with our Power BI Training
Are you ready to harness the full potential of your data? Our ‘DP-900T00 Microsoft Azure Data Fundamentals’ course offers comprehensive Power BI training that will empower you to transform raw data into actionable insights.
Why Choose Our Power BI Training?
In this engaging course, you’ll dive into the world of cloud data services within Microsoft Azure. You’ll not only gain a solid understanding of core data concepts, but also explore how to leverage Azure to work with relational and non-relational data. Discover the secrets of modern data warehousing and analytics with tools like Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.
Hands-On Learning for Real-World Results
Our hands-on approach ensures that you not only learn about Power BI but also build the skills needed to use it effectively. So, join us on this data-driven journey, and unleash the power of data with our Power BI training. Don’t miss out on this opportunity to supercharge your data analysis skills and stay ahead in the ever-evolving world of technology.
Course Details
Course Code: DP-900; Instructor-led
In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
Audience
In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
Prerequisites
Before attending this course, students must have:
- Azure Fundamentals
- Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn
Methodology
This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercises
Course Objectives
Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure’s premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
Outlines
Module 1: Explore core data concepts
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.
Lessons
- Explore core data concepts
- Explore roles and responsibilities in the world of data
- Describe concepts of relational data
- Explore concepts of non-relational data
- Explore concepts of data analytics
After completing this module, students will be able to:
- Show foundational knowledge of cloud data services within Azure
- Identify and describe core data concepts such as relational, non-relational, big data, and analytics
- Explain how this technology is implemented with Azure
Module 2: Explore relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.
Lessons
Explore relational data offerings in Azure
Explore provisioning and deploying relational database offerings in Azure
Query relational data in Azure
After completing this module, students will be able to:
- Describe relational data offerings on Azure
- Explain provisioning and deploying relational databases on Azure
- Query relational data through cloud data solutions in Azure
Module 3: Explore non-relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
Lessons
- Explore non-relational data offerings in Azure
- Explore provisioning and deploying non-relational data services on Azure
- Manage non-relational data stores in Azure
After completing this module, students will be able to:
- Describe non-relational data offerings on Azure
- Explain provisioning and deploying non-relational databases on Azure
- Describe non-relational data stores on Azure
Module 4: Explore modern data warehouse analytics in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
Lessons
- Examine components of a modern data warehouse
- Explore data ingestion in Azure
- Explore data storage and processing in Azure
- Get started building with Power BI
After completing this module, students will be able to:
- Describe processing options available for building data analytics solutions in Azure
- Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
- Explain what Microsoft Power BI is, including its building blocks and how they work together
