Exploratory Data Analysis in AWS is the second course in the AWS Certified Machine Learning Specialty specialization. The main focus of this course is to analyze Data Streams and Data Analytics services in AWS along with exploring Data Analysis in AWS. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 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 Streams and Data Analytics services in AWS
Module 2: Exploring Data Analysis in AWS
By the end of this course, a learner will be able to:
-Demonstrate the implementation of Kinesis Data Streams
-Analyze and visualize data for machine learning
-Examine AWS Glue service with creation of crawler and transform job
Overview
Syllabus
- Introduction to Data Streams and Data Analytics services in AWS
- Module 1:Introduction to Data Streams and Data Analytics services in AWS Welcome to Week 1 of Exploratory Data Analysis in AWS Course. In this week, we’ll Analyze working of Kinesis Data Streams and Kinesis Data Firehose. We’ll also gain demonstrations on Kinesis Data Streams and Kinesis Data Firehose. Finally, the week will end by implementing Kinesis Video Streams and Kinesis Data Analytics.
- Exploring Data Analysis in AWS
- Welcome to Week 2 of the Exploratory Data Analysis in AWS Course. This week, we will learn about AWS Glue Service, which is a fully managed extract, transform, and load (ETL) service that can be used to perform data analysis on AWS. We will learn and implement Amazon Reshift and AWS Data Exchange. By the end of the week, we’ll Demonstrate AWS Glue Crawler and Create a transform job.
Taught by
Whizlabs Instructor
