Coursera

Modern Data Warehouse Analytics in Microsoft Azure (Coursera)

Offered by Microsoft,
Modern Data Warehouse Analytics in Microsoft Azure (Coursera)

In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This is the fourth course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals. so that you can demonstrate that you have a foundational knowledge of the core database concepts in a cloud environment.
This course is ideal for IT professionals who want to 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 with a view to taking up roles as Data Engineers and Database Administrators. It is also suitable for working database professionals looking for additional skills or credentials to showcase expertise in a cloud environment and IT professionals looking to specialize in the specific area of Azure data.
To be successful in this course, you need to have basic computer literacy and proficiency in the English language. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data. It is an advantage to have experience using a web browser, familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet, and visualizing data using charts.

What You Will Learn

  • Processing options for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.

Course 4 of 5 in the Microsoft Azure Data Fundamentals DP-900 Exam Prep Specialization

Syllabus

WEEK 1
Data Ingestion, Storage, and Processing in Microsoft Azure
In this module, you will examine the components of a modern data warehouse. Understand the role of services like Azure Databricks, Azure Synapse Analytics, and Azure HDInsight. See how to use Azure Synapse Analytics to load and process data. You will explore the different data ingestion options available when building a data warehouse, and see how to use Azure Data Factory to ingest data. You will also explore Azure services for performing data analytics.

WEEK 2
Get Started Building with Power BI
In this module, you will learn what Power BI is, including its building blocks and how they work together.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Preparing for AI-900: Microsoft Azure AI Fundamentals exam (Coursera) Coursera
Microsoft

Preparing for AI-900: Microsoft Azure AI Fundamentals exam (Coursera)

Data Science

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the AI-900 Microsoft Azure AI Fundamentals certification exam. You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure. You will go back over the main consideration of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. In short, you will recap all the core concepts and skills that are measured by the exam.

Aug 3rd 2026
4 Weeks
NLP Machine Learning Microsoft Azure
Details
Data Storytelling with Power BI (Coursera) Coursera
Edureka

Data Storytelling with Power BI (Coursera)

CS: Information & Technology

Welcome to the Data Storytelling with Power BI course, where you'll embark on a journey to acquire practical expertise in data transformation and visualization. Leverage the potential of Power BI to craft narratives through structured data, leading to the discovery of more profound insights. Throughout this course, you'll explore the industry-specific applications of Power BI and delve into its various features and functionalities.

Aug 17th 2026
5-12 Weeks
Data Management Data Visualization Power BI
Details
Azure: Identity and Access Management (Coursera) Coursera
Whizlabs

Azure: Identity and Access Management (Coursera)

CS: Information & Technology

Azure: Identity and Access Management Course is the first course of the Exam Prep AZ-500: Microsoft Azure Security Engineer Associate Specialization. This course is designed to describe the basics of Azure Security related to using multiple Azure services. This course includes an overview of Managing identities in Azure AD, Managing authentication and authorization by using Azure AD, and management of application access in Azure AD. This course is divided into two modules and Lessons and Video Lectures further segment each module.

Aug 3rd 2026
2 Weeks
Identity Azure Azure AD
Details
Excel Power Tools for Data Analysis (Coursera) Coursera
Macquarie University

Excel Power Tools for Data Analysis (Coursera)

Business

Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.

Aug 3rd 2026
4 Weeks
Excel Big Data Data Analysis
Details
Insights of Power BI (Coursera) Coursera
Fractal Analytics

Insights of Power BI (Coursera)

Statistics & Data Analysis Data Science

Today's business world is becoming increasingly data-driven. Small and large businesses use data to make decisions about sales, hiring, goals, and all areas they have data for. While most businesses have access to data of one type or another, it can be intimidating for an average business user to understand the data without a background in data analytics.

Aug 3rd 2026
4 Weeks
Data Analysis Data Visualization Power BI
Details
Business Intelligence Concepts, Tools, and Applications (Coursera) Coursera
University of Colorado System

Business Intelligence Concepts, Tools, and Applications (Coursera)

Statistics & Data Analysis Data Science

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Aug 3rd 2026
5-12 Weeks
Data Analysis Decision Making Business Intelligence
Details
Infrastructure Automation with Terraform (Coursera) Coursera
Whizlabs

Infrastructure Automation with Terraform (Coursera)

CS: Information & Technology

Terraform is one of the most recognized infrastructure automation tools that help in addressing various real-life challenges. Infrastructure automation is a reliable instrument for improving productivity, efficiency, and reduction of operational downtime for enterprises. As a result, you can gain better career opportunities with skills in infrastructure automation with Terraform.

Aug 17th 2026
5-12 Weeks
GCP Azure Google Cloud Platform
Details
Data Ecosystem (Coursera) Coursera
Tableau Learning Partner

Data Ecosystem (Coursera)

Statistics & Data Analysis Data Science

The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management.

Aug 3rd 2026
3 Weeks
Databases Data Management Data Warehousing
Details