Tailored for those who have a foundational knowledge of data engineering, this intermediate course dives deeper into the integration of Azure data services with Power BI to craft comprehensive data solutions. The content is structured to empower students to:
- Deepen their understanding of Azure SQL databases and explore advanced features.
- Manage and analyze big data using Azure Data Lake and Azure Synapse Analytics.
- Develop complex queries using DAX (Data Analysis Expressions) in Power BI.
- Employ advanced visualization techniques to create compelling data stories.
- Craft end-to-end data engineering workflows that automate the movement and transformation of data.
Students finishing this course will have the skills to implement intermediate-level data engineering projects that integrate Azure’s cloud capabilities with Power BI’s robust analytics and visualization tools.
Curriculum
- 3 Sections
- 6 Lessons
- 12 Hours
Expand all sectionsCollapse all sections
- Chapter 1: Deep Dive into Azure Data Services2
- Chapter 2: Advanced Data Modeling with Power BI2
- Chapter 3: End-to-End Data Engineering Workflows2
You should be comfortable with the basics of databases and data visualization, and have a fundamental understanding of Azure and Power BI.
The course is designed to be completed over 12 hours of instruction, which can be undertaken at your own pace.
No, all required software platforms are accessible for free or provide trial versions that will be sufficient for the duration of the course.
Yes, you'll receive a certificate that acknowledges your intermediate level of expertise in data engineering.
Requirements
- Completion of a beginner-level course in data engineering or equivalent knowledge
- Basic experience with databases and SQL
- Fundamental understanding of data visualization concepts
Features
- Step-by-step guidance on intermediate Azure data services and Power BI features
- Case studies from industry experts and guest lectures
- Interactive labs with access to Azure and Power BI for hands-on learning
Target audiences
- Junior data analysts/engineers looking to expand their skill set
- IT professionals transitioning to data-centric roles
- Individuals aiming to deepen their understanding of Azure and Power BI