Brief Introduction
The data engineering field is expected to continue growing rapidly over the next several years, and there’s huge demand for data engineers across industries. Udacity has collaborated with industry professionals to offer a world-class learning experience so you can advance your data engineering career. You will get hands-on experience running data pipelines, building relational and noSQL data models, creating databases on the cloud, and more. Udacity provides high-quality support as you master inCourse Summary
The Data Engineer Nanodegree program is designed to provide students with the skills and knowledge needed to become a successful data engineer. This program covers a range of topics including data modeling, data warehousing, data pipeline design, and data infrastructure deployment.Key Learning Points
- Learn to design and build data models and data warehouses
- Master data pipeline design and implementation
- Deploy scalable and fault-tolerant data infrastructure
Related Topics for further study
- Data Modeling
- Data Warehousing
- Data Pipeline Design
- Data Infrastructure Deployment
- Scalable Data Engineering
Learning Outcomes
- Design and build effective data models and data warehouses
- Create and deploy scalable and fault-tolerant data infrastructure
- Master data pipeline design and implementation
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Python programming
- Strong understanding of SQL
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
Similar Courses
- Data Analyst Nanodegree
- Machine Learning Engineer Nanodegree
Related Education Paths
Notable People in This Field
- Data Scientist
- Software Developer
Related Books
Description
Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career.Knowledge
- This program is designed to prepare people to become data engineers. This includes job titles such as analytics engineer, big data engineer, data platform engineer, and others. Data engineering skills are also helpful for adjacent roles, such as data analysts, data scientists, machine learning engineers, or software engineers.
Outline
- Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.
Summary of User Reviews
The Data Engineer Nanodegree program provides students with the skills necessary to succeed in a career as a data engineer. Students learn how to design and build scalable data pipelines, automate data processing, and work with big data technologies. Many users find the program to be comprehensive and well-structured.Key Aspect Users Liked About This Course
Comprehensive and well-structured programPros from User Reviews
- Hands-on projects that provide real-world experience
- Instructors with industry experience
- Comprehensive curriculum that covers a variety of data engineering topics
- Flexibility to complete the program at your own pace
- Access to a community of like-minded students and mentors
Cons from User Reviews
- Some users report technical issues with the Udacity platform
- The program may be too challenging for beginners
- Limited feedback on assignments from mentors
- Some users feel that the program is not worth the price
- The program may not provide enough depth in certain areas
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