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Data Analysis on AWS- Glue, Athena, Quicksight

Learn to create Glue Crawler, run SQL queries in Athena and create Visualization Charts using AWS Quicksight

3.83 / 5.0
2303 students1 hours 29 minutes

Created by Harshit Srivastava, offered on Udemy

bestcourses score™

Student feedback

4.1/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 2303 students which left 31 reviews at an average rating of 3.83, which is below the average.

Course length

8.6/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 1 hours 29 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.1/10

This course currently has a bestcourses score of 5.1/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

Description

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.

What you will learn

  • 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

Requirements

  • If you are already familiar with AWS cloud computing platform, it would be helpful.
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Frequently asked questions

  • Price: Free
  • Platform: Udemy
  • Language: English
  • 1 hours 29 minutes
Data Analysis on AWS- Glue, Athena, Quicksight thumbnail

bestcourses score: 5.1/10

There might be better courses available for this topic.