Name: Azure Data Engineering Masters: Build Scalable Solutions
Availability: InStock

What You'll Learn

Fundamentals of Data Engineering: Understand the core concepts, roles, and responsibilities within data engineering, including data lifecycle management.
SQL Proficiency: Master both basic and advanced SQL techniques for querying, data modeling, and optimizing database performance.
Python Programming: Gain hands-on experience in Python, focusing on essential programming concepts, data manipulation, and file handling.
Databricks & PySpark Skills: Learn to use Databricks for data processing and transformations with PySpark, including building efficient ETL pipelines.
Azure Services Expertise: Explore various Azure services, including Azure Data Factory, Azure Synapse, and Azure Storage, for data integration and analytics.
Data Visualization with Power BI: Create interactive dashboards and reports using Power BI, integrating data from multiple sources and leveraging AI tools.
Real-World Project Experience: Apply learned skills in practical projects that simulate industry scenarios, enhancing problem-solving and project management abi

Requirements

Basic Understanding of Data Concepts: Familiarity with fundamental data concepts and terminology.
Basic SQL Knowledge: Introductory knowledge of SQL is helpful but not mandatory.
Familiarity with Programming: Basic experience in any programming language, preferably Python.
Interest in Data Engineering: A keen interest in data engineering and cloud technologies.
Computer with Internet Access: A reliable computer and internet connection for accessing course materials and participating in hands-on labs.
Willingness to Learn: A proactive attitude towards learning and engaging with new technologies.

Aspiring Data Engineers: Individuals looking to start a career in data engineering and analytics.
IT Professionals: Current IT professionals seeking to upskill and transition into data engineering roles.
Data Analysts: Data analysts who want to deepen their technical skills and expand their knowledge of data engineering.
Students in Related Fields: University students studying computer science, information technology, or data science.
Business Analysts: Professionals interested in leveraging data engineering to enhance business insights and decision-making.
Career Changers: Individuals from non-technical backgrounds who are motivated to enter the data engineering field.
Anyone Interested in Azure Solutions: Those looking to understand and utilize Azure as a cloud service provider for data solutions.

Data Analytics, Data Science & AI Instructor

4.5 Instructor Rating

5,424 Reviews

62,277 Students

4 Courses

17.99 FREE 100% OFF

Limited time offer

Certificate of Completion

Full Lifetime Access

Access on Mobile & TV