Communicating Insights from Microsoft Azure to the Business
In order to gain a competitive advantage, enterprises wish to realize the value of big data. In this course, you will learn how to perform analysis on a large volume of data and communicate critical insights to the business from Microsoft Azure.
What you'll learn
There is currently a paradigm shift happening in the way organizations are doing business. They need tools to help them get expository insights from the plethora of sources, including their own historical data. This helps them make crucial business decisions at the right moment in order to grow their business or to meet the current and future business requirements. In this course, Communicating Insights from Microsoft Azure to the Business, you will gain the ability to utilize machine learning and artificial intelligence to uncover meaningful insights from data that can be used by business owners to make critical decisions. First, you will learn about data science and how to use the Azure Data Science services to perform data analysis on a large volume of data. Then, you will explore Azure Databricks and how to utilize features like Event Hubs, Data Lake Storage, and what you can glean from an exploratory analysis using these tools. Finally, you will discover how to communicate critical insights to the business from Microsoft Azure using tools like Power BI and MatPlotLib. By the end of this course, you will be confident in taking up Azure Data Science projects for your organization as a skilled data scientist and help your organization grow by providing knowledge business insights to the stakeholders and enable them to take critical decisions.
Table of contents
- Module Overview 1m
- Understanding the Azure Databricks Ecosystem 4m
- Understanding Apache Spark and Notebook 5m
- Demo: Configuring and Working with Azure Databricks 12m
- Demo: Azure Databricks with Azure Data Lake Storage Gen2 18m
- Demo: Performing Exploratory Data Analysis using Azure Databricks 9m
- Demo: Working with Streaming Data Using Azure Databricks and Event Hubs 8m
- Summary 1m