Azure for Fabric Analytics Engineer Associate
						
													Categories:							Microsoft Certified Courses											
				 
        About Course
									AMJ – Unnati //								
				Microsoft Certified: Fabric Analytics Engineer Associate
									Become a Microsoft Certified  Fabric Analytics Engineer Associate. Start Today!								
				Level - Advanced
									Master New Skills and Transform the Future								
				
									Master New Skills and Transform the Future								
				 Duration – X hrs / X Days
Duration – X hrs / X Days								 Grade 6 & Up
Grade 6 & Up								 Cost – Rs. X
Cost – Rs. X								 4.2
4.2								Courses Offered //
 
															
									Welcome to Unnati’s Microsoft Certified: Fabric Analytics Engineer Associate course – your gateway to mastering enterprise-scale data analytics. Dive into a transformative learning experience designed for data engineers, AI and data scientists, and Power BI analysts. Unlock the power of Microsoft Fabric components and languages like SQL, DAX, and PySpark as you become a certified Fabric Analytics Engineer.								
				
									Enroll today and kickstart your upskilling journey!								
				 
															 
															Course Highlights:
X hours of engaging video content
Comprehensive course notes and material
Access on mobile and PC
Certificate of Completion
Who Should Take This Course?
- Data Engineers: Perfect for professionals with expertise in designing, creating, and deploying data analytics solutions.
- AI and Data Scientists: Ideal for individuals working in roles that involve transforming data into reusable analytics assets.
- Power BI Data Analysts: Suited for analysts looking to deepen their skills in analytics best practices within the Fabric platform
What You’ll Master:
									Upon completing this course, you will be proficient in
								
				- Planning Analytics Solutions: Learn to plan, implement, and manage solutions for data analytics on an enterprise scale.
- Data Preparation and Serving: Master the art of preparing and serving data efficiently using Microsoft Fabric components.
- Semantic Model Implementation: Acquire the skills to implement and manage semantic models for enhanced data analysis.
- Exploratory Analytics: Dive into exploratory analytics, utilizing languages such as SQL, DAX, and PySpark for comprehensive insights.
Course Outcomes:
									Upon completion of the Microsoft Certified: Fabric Analytics Engineer Associate course, you will:
								
				- Enterprise-Scale Analytics: Plan, implement, and manage solutions for data analytics on an enterprise scale.
- Efficient Data Handling: Successfully prepare and serve data using Microsoft Fabric components.
- Semantic Model Mastery: Implement and manage semantic models, enhancing the depth of data analysis.
- Exploratory Analytics Proficiency: Explore and analyze data using languages such as SQL, DAX, and PySpark for comprehensive insights.
Course Description:
									This course is designed for data engineers, AI and data scientists, and Power BI data analysts seeking mastery in Fabric analytics engineering. From enterprise-scale planning to semantic model implementation, participants will engage with Microsoft Fabric components, exploring languages like SQL, DAX, and PySpark. Join us on a journey to become a certified Fabric Analytics Engineer and unlock the potential of enterprise-scale data analytics.								
				Complete Course Content:
 Planning Analytics Solutions
				- Understanding enterprise-scale planning for data analytics
- Identifying key components in planning Fabric analytics solutions
- Best practices for successful implementation of analytics solutions
Data Preparation and Serving
				- Efficient techniques for preparing and serving data using Fabric components
- Utilizing Microsoft Fabric for seamless data ingestion and transformation
- Implementing version control and deployment for data serving
Semantic Model Implementation
				- Strategies for implementing and managing semantic models in Fabric analytics
- Enhancing data analysis through semantic model optimization
- Best practices for version control and deployment of semantic models
Exploratory Analytics
				- Introduction to exploratory analytics in data analysis
- Utilizing SQL for querying and exploring data
- Leveraging DAX and PySpark for advanced exploratory analytics
- Best practices for interpreting and visualizing exploratory data insights
									Ready to revolutionize your data analytics journey? Enroll now and become a Microsoft Certified Fabric Analytics Engineer Associate!								
				 
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