Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals
Make great visualizations using Data Lake, AWS Athena, AWS Glue & S3. Learn complete workflow
Updated on Oct, 2024
Language - English
Business,Business Analytics and Intelligence,
Lectures -25
Resources -1
Duration -3 hours
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Course Description
In the world of Big Data Analytics, Enterprise Cloud Applications, Data Security, and compliance, - Learn Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals step-by-step, complete hands-on AWS Data Lake, AWS Athena, AWS Glue, AWS S3, and AWS QuickSight. Bringing you the latest technologies with up-to-date knowledge.
Are you facing issues with Big Data Analytics and would like to create stunning and robust visualizations using AWS QuickSight? Look no further - The Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course will help you gain a solid understanding of all these concepts along with hands-on application in a flipped classroom manner!
Course Overview:
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 and enjoy a fascinating high-paying career?
Or maybe you just want to learn additional tips and techniques to take to a whole new level?
Welcome to Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course!
It is not only a comprehensive hands-on course with detailed concepts and their application, you will not find a course similar to this. The flipped classroom model with hands-on learning will help you experience direct into the course as you begin your learning journey. Be sure to preview the lecture 'Structure of the course & meet your instructor"
Who this course is for:
- Anyone looking to switch to Amazon (AWS) Quicksight for stunning and robust data visualizations
- Data analysts looking to create visuals and perform business intelligence (BI) analysis
- Business Analysts who wish to provide in-depth data analytics
- Anyone who wants to compare Microsoft Power BI tool with Amazon (AWS) QuickSight cloud-powered BI service
Goals
- Be able to learn the 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, and dashboards, perform field calculations, and interactive dashboards.
- Learn AWS Athena Query editor and create Databases and Tables.
- Understand how AWS Glue works and configure the AWS environment.
Prerequisites
- To open an AWS account, a credit card is required for a free trial.
- Basic SQL query syntax is desirable.
- Basic knowledge of the AWS platform is desirable but not required.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
3 Lectures
-
Meet your Instructor & Course Structure - Watch This First!!!
05:05
05:05
-
Creating Your First Visual With AWS QuickSight
15:40
15:40
-
AWS QuickSight User Interface (UI)
06:10
06:10
Deep Dive AWS QuickSight, Data Lake, Glue, & Athena
6 Lectures
Basic Data Importation Using CSV & Visualization
9 Lectures
How To Section & Core Concepts
5 Lectures
FREE Resources + Bonus
1 Lectures
Instructor Details
Syed Raza
Hello, my name is Syed Raza and I am passionate about teaching valuable skills to students who are motivated to learn! My goal is to help you easily achieve your goals and objectives, whether that means enhancing your existing skill set, gaining productivity at the workplace, differentiating yourself, or learning the new technological skills that are required to improve your career.
Over the last 20 years, I have acquired valuable skills and experience that allow me to provide you with great learning experiences. I have numerous technical IT and developer certifications (AWS, MCSE+I, MCT, CCNA—including a PhD which enable me to teach a variety of powerful courses, from IT to Project Management.
Providing technical and training solutions using AWS, Azure, Google Cloud, Red Hat OpenShift, Python, Java, JavaScript, React JS, GCP, Kubernetes, Jenkins, Ansible, and Docker
AWS Certified Solutions Architect, DevOps Engineer building AWS pipelines using CodeStar and CodeCommitt
Working knowledge of TensorFlow, Pytorch, Keras, Convolutional networks, and data science concepts
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