Enroll Course: https://www.coursera.org/learn/data-engineering-in-aws
The ‘Data Engineering in AWS’ course on Coursera is an excellent entry point for anyone looking to delve into data engineering within the AWS ecosystem. As the first course in the AWS Certified Machine Learning Specialty specialization, it provides a balanced mix of theory and practical hands-on experience, making it suitable for beginners and intermediate learners alike. The course is structured into two detailed modules, each comprising lessons and video lectures that total approximately 2:30 to 3 hours, offering a comprehensive overview of key data engineering concepts.
The first module introduces foundational topics such as setting up SageMaker Jupyter Notebooks and handling missing data, which are crucial skills for data engineers. The practical demonstrations and real-world scenarios help reinforce learning. The second module enhances technical proficiency by covering feature extraction and selection techniques, including Principal Component Analysis and Variance Thresholds, and also explores AWS migration services.
The content is well-organized, with clear explanations, making complex topics accessible. The inclusion of both graded and ungraded activities encourages active participation and mastery of skills. Whether you’re aiming to start a career in data engineering or seeking to expand your cloud skills, this course offers valuable insights and practical experience.
In conclusion, I highly recommend ‘Data Engineering in AWS’ on Coursera for its comprehensive curriculum, engaging delivery, and relevance to current industry needs. It’s a worthwhile investment for anyone eager to learn data engineering on AWS and prepare for related certification exams.
Enroll Course: https://www.coursera.org/learn/data-engineering-in-aws