Description
Analytics Engineering for Beginners is a course on the fundamentals of analytics engineering and how to transform raw data into reliable, analysis-ready datasets published by Udemy Online Academy. Designed for aspiring analytics engineers, data analysts, business intelligence professionals, and data enthusiasts, this course explores the modern data stack and the processes used to prepare, model, test, and document data for reporting and decision-making. Students will learn how analytics engineering bridges the gap between analytics engineering and data analysis, as well as concepts such as SQL, data modeling, ETL and ELT, data transformation, data quality testing, version control, and workflow automation.
This course is designed to give you a clear and practical understanding of analytics engineering, why it exists, and what you need to know to get started. You’ll learn about data architecture, pipelines, and the modern data stack—a set of tools and technologies that analytics engineers work with every day. Whether you’re exploring analytics engineering as a career path, transitioning from an analyst or engineering role, or just trying to understand how modern data teams work, this course is for you.
What you will learn in Analytics Engineering for Beginners:
- Define the role of analytics engineering and explain how it fits into a modern data team.
- Describe the components of the modern data stack, including data architecture and pipelines.
- Distinguish between key concepts such as OLTP vs. OLAP, ETL vs. ELT, and databases vs. data warehouses vs. data lakes.
- Identify common real-world scenarios where an analytics engineer adds value.
- And…
Course specifications
Publisher: Udemy
Instructors: Maven Analytics • 1,500,000 Learners and Alice Zhao
Language: English
Level: Introductory to Advanced
Number of Lessons: 43
Duration: 1 hours and 25 minutes
Course topics
Analytics Engineering for Beginners Prerequisites
Basic understanding of data and databases is helpful, but not required (this is a beginner-friendly course)
Pictures
Analytics Engineering for Beginners introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
405 MB