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Exploratory Data Analysis in AWS
  • Level Foundation
  • Duration 5 hours
  • Course by Whizlabs
  • Offered by

About

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

Modules

Kinesis Data Streams and Kinesis Data Firehose

    • 11 Videos
    • 3 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Kinesis Data Streams and Kinesis Data Firehose Knowledge Test

11 Videos

  • Introduction to Kinesis Data Streams and Kinesis Data Firehose
  • Kinesis Data Streams
  • Create Kinesis Streams - S3 Bucket - Lambda: Hands On
  • Building Realtime Data Streaming System-Kinesis Data Stream
  • Kinesis Data Firehose
  • Kinesis Data Firehose - Create S3 - VPC - VPC Flow Logs
  • Kinesis Data Firehose - Internet Gateway - Subnet - EC2 Instance
  • Kinesis Data Firehose - EC2 Logs - Create Subscription Filter: Data Delivery to S3
  • Amazon EMR
  • Amazon EMR - Launch EMR Cluster
  • Amazon EMR - Submit Work & Validate

3 Readings

  • Course Outline
  • Welcome to the Course
  • Introduction to Data Streams and Data Analytics Services

Kinesis: Video Streams and Data Analytics

    • 2 Videos
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Kinesis: Video Streams and Data Analytics - Knowledge Test
  • Week 1 Assessment

1 Discussions

  • Meet and Greet

2 Videos

  • Kinesis Video Streams
  • Amazon Managed Service for Apache Flink

Analyze and visualize data for machine learning

    • 12 Videos
    • 3 Readings
    • 3 Assignment
Show info about module content

3 Assignment

  • Analyze and visualize data for machine learning Knowledge Test
  • Week 2 Assessment
  • Overall Course Assessment Quiz

12 Videos

  • AWS Glue
  • Perform ETL with AWS Glue - Create Glue Crawler
  • Run Glue Crawler & Create Glue Job
  • Validate the Output from Glue Job
  • Amazon Redshift
  • Amazon Redshift - Demo
  • AWS Data Exchange
  • AWS Data Exchange - Demo
  • Analyze and visualize data for machine learning
  • Amazon QuickSight: Analyze and visualize data for Machine Learning
  • Exam tips-Part 1
  • Exam tips-Part 2

3 Readings

  • Exploring Data Analysis in AWS Overview
  • Course Conclusion
  • Key Takeaways of the Course

Auto Summary

"Exploratory Data Analysis in AWS" is a foundational course ideal for anyone looking to enhance their skills in Data Science and AI, particularly within the AWS ecosystem. Offered by Coursera, this course is the second installment in the AWS Certified Machine Learning Specialty specialization. It delves into the analysis of Data Streams and Data Analytics services provided by AWS, divided into two comprehensive modules. The course spans approximately 2 to 2.5 hours of engaging video lectures that combine theoretical insights with hands-on practice. To ensure a thorough understanding, each module is supplemented with both graded and ungraded quizzes, helping learners assess their progress. Module 1 covers an introduction to Data Streams and Data Analytics services in AWS, while Module 2 focuses on exploring Data Analysis in AWS. By the end of the course, participants will be equipped to implement Kinesis Data Streams, analyze and visualize data for machine learning, and utilize the AWS Glue service for creating crawlers and transform jobs. This course is designed for professionals seeking to deepen their knowledge in data analysis using AWS tools. It is available through a professional subscription on Coursera and is perfect for those at the foundational level looking to build a solid understanding of data analytics within the AWS environment.

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