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.
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.
Author Name: Neeraj Kumar
Author Description:
With an IT experience spanning over two decades, Neeraj is a Cloud Enthusiast, Enterprise Architect, and Author, currently working as Technology Head – Cloud Operations, MBU at TATA Consultancy Services, managing high-end digital transformation and cloud operation programs using solutions built on AIOps, Data Science, Cognitive Services, Power Platform, M365, Azure, etc. to elevate businesses by maximizing their RoI.
Table of Contents
- Course Overview
1min - Setting the Stage
26mins - Working with Azure Databricks
57mins - Model Evaluation and Summarizing Results
35mins - Reviewing Results with Stakeholders
22mins
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