What you'll get
- 2+ Hours
- 2 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Introduces analytics workloads on Microsoft Azure, including data ingestion, storage, and processing
- Explains data visualization concepts using Microsoft Power BI, with hands-on report and dashboard creation
- Provides complete preparation for the DP-900 certification exam
- Covers essential data concepts across relational and non-relational database models
- Demonstrates NoSQL data implementation using Azure services such as Azure Cosmos DB, Table, Blob, and File storage
- Explores relational database solutions on Azure, including Azure SQL Database and Managed Instances
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Cluster Analysis Course | 1h 41m | ✔ | View Curriculum |
| Project on K-Means Clustering | 43m | ✔ | View Curriculum |
Description
This course offers comprehensive preparation for the DP-900 Azure Data Fundamentals certification, fully aligned with the latest exam updates. It is designed to help learners build a strong understanding of core data concepts and Azure-based data services, making it an ideal entry point into cloud data technologies.
Participants explore how data is stored, processed, and analyzed within the Azure ecosystem. The course balances conceptual clarity with practical exposure, ensuring learners understand both analytics workloads and operational data scenarios. By the end of the program, learners gain the confidence to take the DP-900 exam and establish a solid foundation for further specialization in Azure data and cloud technologies.
Goals
- Prepare learners to pass the DP-900: Azure Data Fundamentals exam.
- Build a clear understanding of data concepts and cloud-based data services
- Introduce analytics, relational, and non-relational workloads on Azure
- Enable learners to visualize data effectively using Power BI
- Lay the groundwork for advanced Azure data certifications and roles
Objectives
- Explain foundational data concepts and principles
- Identify and work with relational data solutions on Azure
- Understand non-relational data storage and NoSQL services on Azure
- Describe analytics workloads, including ingestion, transformation, and visualization
- Apply Power BI concepts to create meaningful reports and dashboards
- Develop exam readiness through structured topic coverage
Highlights
- Certification-focused curriculum aligned with DP-900 objectives
- Updated content reflecting the latest Azure exam changes
- Clear explanation of analytics, relational, and NoSQL workloads
- Practical exposure to Azure SQL Database, Cosmos DB, and storage services
- Data visualization fundamentals using Power BI
- Beginner-friendly approach with structured learning progression
Requirements
- Interest in Azure cloud computing and data technologies
- No prior data or database experience required
- Basic familiarity with data concepts is helpful but not mandatory
Target Audience
- Students and beginners starting their journey in cloud data technologies
- Learners planning to pursue advanced Azure data certifications
- Professionals seeking a strong foundational understanding of Azure data services
- Individuals aiming to build a career in cloud computing and data management
FAQ
Q1. Is this course suitable for beginners?
Yes. The course is designed for learners with no prior background in data or databases.
Q2. Does the course fully prepare learners for the DP-900 exam?
Yes. The curriculum aligns with all DP-900 exam objectives and current exam updates.
Q3. Will learners gain practical knowledge of Azure data services?
Yes. The course introduces key Azure data services and explains their real-world use cases.
Q4. Is Power BI covered in this course?
Yes. Learners are introduced to Power BI concepts, including reports and dashboards.
Career Benefits
- Establishes a strong foundation in cloud data and Azure services
- Improves readiness for entry-level cloud and data-related roles
- Opens pathways to advanced Azure certifications and specializations
- Enhances understanding of high-demand skills in data and cloud computing
- Supports long-term career growth in one of the fastest-growing technology domains
