MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
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
Course 2 of 5 in the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization.
What You Will Learn
- Analyze and visualize data for machine learning
- Demonstrate the implementation of Kinesis Data Streams
- Examine AWS Glue service with creation of crawler and transform job
Syllabus
WEEK 1
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.
WEEK 2
Exploring Data Analysis in AWS
Welcome to Week 2 of Exploratory Data Analysis in AWS Course. This week, we’ll learn AWS Glue Service for performing Data Analysis. We’ll be able to Analyze and visualize data for machine learning. In the end of the week, we’ll Demonstrate AWS Glue Crawler and Create transform job.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.