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.
Exploratory Data Analysis in AWS
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Exploratory Data Analysis in AWS
This course is part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
Instructor: Whizlabs Instructor
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll 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
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
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This course is part of the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
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.
What's included
13 videos3 readings3 assignments1 discussion prompt
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.
What's included
12 videos3 readings3 assignments
Instructor
Offered by
Recommended if you're interested in Machine Learning
Amazon Web Services
Coursera Project Network
University of California, Irvine
Johns Hopkins University
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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