课程概述
Data Engineering in AWS is the first course in the AWS Certified Machine Learning Specialty specialization. This course helps learners to analyze various data gathering techniques. They will also gain insight to handle missing data. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:30-3:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
Module 1: Introduction to Data Engineering
Module 2: Feature extraction and feature selection
Candidate should have at least two years of hands-on experience architecting, and running ML workloads in the AWS Cloud. One should have basic ML algorithms knowledge. By the end of this course, a learner will be able to:
- Understand various data-gathering techniques
- Analyze techniques to handle missing data
- Implement feature extraction and feature selection with Principal Component Analysis and Variance
Thresholds.
筛选依据：
1 - Data Engineering in AWS 的 8 个评论（共 8 个）
创建者 Sai T
•Nov 9, 2025
I like how they explain the topic step by step
创建者 BARATAM K V
•Feb 12, 2025
good for understanding
创建者 Achyutha s l
•Oct 24, 2024
good
创建者 Fábio T
•Oct 11, 2025
some slightly outdated content, some issues connecting to the S3 bucket (had to create my own and add the provided files manually)
创建者 Skandarajan R
•Jan 5, 2024
Not Hans on Experience
创建者 Matthew Z
•Aug 14, 2023
A lot of the material in the quizzes is not covered in the course material.
创建者 Sergei B
•Apr 7, 2024
Quiz questions and course materials don't correlate much.
创建者 Salah W
•Aug 22, 2023
1. The questions in the evaluation are not covered in the course material.
2. Course material is outdated.