What you'll learn:
- Be able to learn fundamentals of Amazon (AWS) QuickSight and its powerful and easy to use features and capability
- Learn how to perform data analytics from big data using QuickSight
- Understand the difference between Microsoft Power BI and AWS QuickSight
- Know how to connect to various data sources such as AWS RDS, S3, AWS Athena, and AWS Glue
- Connect to Twitter and learn how to upload large data sets into AWS S3 buckets
- Understand the UI of QuickSight
- Be able to create stories, dashboards, perform field calculations, and interactive dashboards
- Learn AWS Athena Query editor and create Databases and Tables
- Understand how AWS Glue works and configure AWS environment
Are you facing issues with Big Data Analytics and would like to create stunning and robust visualizations using AWS QuickSight? Look no further TheAmazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course will help you gain solid understanding of all these concepts along with hand-on application in a flipped classroom manner!
Course Description
Are you a company or a Data Analyst, Business Analyst, Web Developer, IT administrator, Data Center Architect,Project Manager, Enterprise Architect, or Programmer?and want to gain fundamental and intermediate level skills andenjoy a fascinating high paying career?
Or maybe you just want to learn additional tips and techniques taking to a whole new level
Welcome to Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course - A one of its kind course
It is not only a comprehensive hands-on course with detailed concepts and their application, you are will not find a course similar to this. The flipped classroom model with hand-on learning will help you experience direct into the course as your begin your learning journey. Be sure to preview the lecture 'Structure of the course & meet your instructor"
In this course, you'll learn and practice:
Create robust visualizations using AWS QuickSight
Gain solid understanding of Server less computing, AWS Athena, AWS Glue, and S3 concepts
Import Data Sets into AWS S3 and create Virtual Private Cloud (VPC) connection
Understand AWS Data Lake and build complete Workflow
Work with multiple data sets and create databases and tables. See how QuickSight creates visualizations
Learn the difference between Microsoft Power BI and AWS QuickSight, andmuch more
You will alsoget valuable resources and sample data sets where applicablewith this course!We've built this course with our TeamClayDeskof industry recognized Big data architects and certified consultants to bring you the best of everything!
So, if you would like to:
gain solid understanding of AWS concepts (AWS S3, Glue, Athena, QuickSight), this course is for you
gain marketable skills as an IT expert and professional, this course is for you
This course is not designed for advanced level students
thisAmazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals courseis exactly what you need,and more.You’ll even get acertification of completion
See what our students say “It is such a comprehensive course that I don’t need to take any other course but this one to learn all important concepts and hand-on application with this Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course,and I would without a doubt recommend it to everyone.”- Marcy Stevens
“This is such an awesome course. Clear instruction, and I loved every bit of it – Wonderfullearning experience!” James Stephen.
Join thousands of other students and share valuable experience
Why take this course?
As a senior Enterprise Architect & Project Manager managing and deploying enterprise level ITprojects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with AWS has been phenomenally great! I am excited to share my knowledge and transfer skills to my students.
Enroll now inAmazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course today and revolutionize your learning. Stay at the cutting edge of Big Data Analytics with AWS QuickSight—and enjoy bigger, brighter opportunities.
See you in class
Syed and Team ClayDesk
