In this microcredential course, learners will acquire competencies related to essential data concepts and how to effectively manage them using Microsoft Azure’s data services. This will cover relational and non-relational data, big data, and analytics, providing a robust understanding of Azure’s cloud data services. The microcredential course guides learners through relational data fundamentals, non-relational data using Azure storage, Azure Cosmos DB, large-scale data warehousing, and real-time analytics. Whether learners are refreshing their knowledge or new to the field, this microcredential course offers a solid foundation in Microsoft Azure’s data services.
What You’ll Learn
Upon completing this course, you will possess the capability to articulate a comprehensive understanding of data concepts, roles, and services. You will also demonstrate proficiency in evaluating both relational database services and non-relational data solutions on the Azure platform. Furthermore, you will have acquired the skills necessary for proficiently managing data analytics and visualization within the Azure environment.
Skills You’ll Gain
- Data Science
- Cloud Infrastructure Management
Roles
- Database Administrator
Course Outline
Module 1: Cloud Concepts
Module 2: Azure Architecture and Services
Module 3: Azure Management and Governance
Module 4: Data Concepts
Module 5: Relational Data
Module 6: Non-relational Data
Module 7: Data Analytics in Azure
Required Resources
Laptop, Intel Core i5 or higher, 16GB RAM, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network)
Pre-Requisites
None
Assessment
In this Data Management course, there will be
- One (1) diagnostic assessment, conducted synchronously and based on knowledge, allows learners to choose between remote or on-site participation.
- Two (2) formative assessments, one focusing on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, with the option for remote or on-site participation.
- A knowledge-based style summative assessment is conducted synchronously, allowing learners to participate remotely or on-site.
Credit and Recognition
Upon completing the Data Management course, learners will receive a Certificate of Completion and a badge. These serve both as a recognition of acquired data science expertise and a foundational step toward more advanced studies in said field.
This course is facilitated by a Microsoft Certified Professional, someone who has completed professional training for Microsoft products through a certification program provided by Microsoft. To ensure the quality of this microcredential, continuous feedback loops with students, instructors, and industry practitioners are maintained to improve content, delivery, and assessment methods continuously.
Learning Pathways
The learner is eligible to take the Microsoft Certified: Azure Fundamentals and Azure Data Fundamentals.
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Specifically: Data Management is the foundational course for your journey in the world of data. Upon successful completion, you’ll have the choice to specialize further in:
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Data Analytics: If you’re keen on extracting insights from data.
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Data Engineering: If you’re interested in designing robust data infrastructure.
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Machine Learning: If you’re interested in building intelligent systems.
