Data Analysis on AWS- Glue, Athena, Quicksight
- Development
- May 13, 2025

Data Analysis on AWS- Glue, Athena, Quicksight, available at $59.99, has an average rating of 3.4, with 21 lectures, 1 quizzes, based on 56 reviews, and has 3166 subscribers.
You will learn about You could create a Crawler using AWS Glue for creating a dataset and find its schema You could perform data analysis on a dataset by running SQL queries in AWS Athena You could Prepare your dataset for finding Insights in AWS Quicksight You could create Visualization Charts and BI reports in AWS Quicksight and find Insights This course is ideal for individuals who are Anyone who is curious to learn Data Analysis on AWS Cloud or Students and IT professionals interested in learning AWS Glue, Athena and Quicksight or Anyone interested in learning Data Visualization and Data Preparation with AWS Quicksight or Interested in creating a Crawler in AWS Glue to create a dataset with schema or In running SQL queries using Amazon Athena It is particularly useful for Anyone who is curious to learn Data Analysis on AWS Cloud or Students and IT professionals interested in learning AWS Glue, Athena and Quicksight or Anyone interested in learning Data Visualization and Data Preparation with AWS Quicksight or Interested in creating a Crawler in AWS Glue to create a dataset with schema or In running SQL queries using Amazon Athena.
Enroll now: Data Analysis on AWS- Glue, Athena, Quicksight
Summary
Title: Data Analysis on AWS- Glue, Athena, Quicksight
Price: $59.99
Average Rating: 3.4
Number of Lectures: 21
Number of Quizzes: 1
Number of Published Lectures: 21
Number of Published Quizzes: 1
Number of Curriculum Items: 22
Number of Published Curriculum Objects: 22
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
In this course, you would learn about various cloud services on Amazon Web Services or AWS Cloud computing platform. Here you will learn to perform Data Analysis on a dataset to find various insights that can be used in taking critical decisions based on the data. There are various methods for Data Analysis. You can write SQL queries to find relevant information from a dataset stored in a database. You could also use Business Intelligence tools such as AWS Quicksight to create Visualization charts and Analytics report that can also be used to present insights in visually appealing way using colorful charts with creative parameters.
In this course you would be learning various AWS Analytics services as below-
AWS Glue
Amazon Athena
AWS Quicksight
There are various steps involved from data preparation and cleaning, to analysis and visualization. Here in this course, you would learn to create a Crawler using AWS Glue that can span through the dataset kept in Amazon S3 or DynamoDB and detect the schema. This crawler could be used to create a database where you can run SQL queries using AWS Athena for finding insights based on certain conditions and parameters defined. You could also customize records in a table using SQL queries and perform other operations as well. SQL is a Structured Query Language that is widely used for Data Analysis on databases, and we can use the same on AWS cloud computing platform.
Moreover, you will also learn to create visualization charts and BI reports using AWS Quicksight. You will learn to create various kinds of Visualization charts in Quicksight such as Treemap, word cloud, bar, pie chart and much more. You would also learn to prepare your dataset before creating Visualization charts.
All these skills when combined together can be used for Data Science projects as well.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Resources
Chapter 2: Creating a S3 bucket
Lecture 1: Create a S3 bucket and add dataset
Chapter 3: Setting up AWS Glue crawler
Lecture 1: Create a Crawler using AWS Glue
Lecture 2: Configuring output database name for crawler
Lecture 3: Customize Schema, find table details in Glue and Log groups in Cloud Watch
Chapter 4: Performing SQL queries using AWS Athena
Lecture 1: Run SQL Queries on Athena and store output in S3 bucket
Lecture 2: Create and Save Custom Query in AWS Athena
Chapter 5: AWS Quicksight
Lecture 1: Getting Started with Quicksight
Lecture 2: Importing dataset and understanding group and values
Lecture 3: Creating Treemap and Customizing charts
Chapter 6: Data Preparation
Lecture 1: Data Preparation- Editing Dataset before creating Charts
Lecture 2: Create a Calculated Field using Functions- ceil and concat
Lecture 3: More calculated fields
Lecture 4: Creating Filters and Excluded list
Chapter 7: Data Visualization
Lecture 1: Map Chart and Conditional Formatting
Lecture 2: Pivot table
Lecture 3: Word Cloud
Lecture 4: Funnel chart
Chapter 8: Conditional Formatting
Lecture 1: more on Conditional formatting
Lecture 2: Adding Title description and creating Visuals for KPIs
Chapter 9: Practice Quiz
Instructors

Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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