Learn how to go from raw data to meaningful insights using AWS with this one-week course. Throughout the course, you’ll learn about the fundamentals of Data Analytics from AWS experts.
Start off with an overview of different types of data analytics techniques - descriptive, diagnostic, predictive, and prescriptive before diving deeper into the descriptive data analytics. Then, apply your knowledge with a guided project that makes use of a simple, but powerful dataset available by default in every AWS account: the logs from AWS CloudTrail. The CloudTrail service enables governance, compliance, operational auditing, and risk auditing of your AWS account. Through the project you’ll also get an introduction to Amazon Athena and Amazon QuickSight. And, you’ll learn how to build a basic security dashboard as a simple but practical method of applying your newfound data analytics knowledge.
Status: Amazon Web Services
Amazon Web Services
Status: Data Visualization
Data Visualization
Beginner·Course·2 hours
Featured reviews
5.0
·Reviewed Sep 1, 2021
Good course to get quick introduction to AWS world of data analytics. The instructor spoke to the point and made relevant suggestions.
5.0
·Reviewed Jul 24, 2021
excelent content. Super illustrative. Thank you so much for deliver it so well, Rafael.
5.0
·Reviewed Dec 6, 2024
This is so helpful to understand basic sequence of how data analytics is and how AWS provide us about the services.
5.0
·Reviewed Aug 26, 2023
The great thing about Coursera is the flexibility. You can learn anywhere, which is better than a rigid campus curriculum.
4.0
·Reviewed Apr 23, 2022
As a student&beginner, this course is easily understandable and the content which explained by Mr.Raf is outstanding.
5.0
·Reviewed Dec 18, 2021
simple and perfect course for beginners who are like to enroll to the data analytics. highly appreciate.
4.0
·Reviewed Jun 25, 2022
Helpful to getting started, However, personally prefer more in detail programs.Thanks,
4.0
·Reviewed May 16, 2021
Had a lot of useful information just wish it was easier to do the course on the mobile app because i do a lot of the classes during my work break or lunch.
4.0
·Reviewed Aug 19, 2023
it was amazing but i also want to learn those aws s3 aws athena tools in more detail and in more easy to understandable manner.
5.0
·Reviewed May 29, 2021
Excellent, quick course, cleverly presenting combining Data Analytics and AWS services S3, QuickTrail, QuickSight and Athena.
5.0
·Reviewed Apr 18, 2022
It was an excellent course and Trainer was well immersed with knowledge and having a lot of experience.
5.0
·Reviewed Feb 13, 2023
I would really like to recommend this course to all of my colleague as i found it very helpful
All reviews
Showing: 20 of 166
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S
Sidney
1.0
·Reviewed Aug 3, 2022
Requesting a credit card from the user to allow the creation of a free AWS account sounds like a bad joke! If the account is free, why not allow the user to set-up it without providing a credit card? They force us to provide credit card information instead of limiting our "processing usage" on AWS. If for any reason the user exceeds the usage limits, you will be automatically charged.
A
Amit
5.0
·Reviewed Sep 2, 2021
Good course to get quick introduction to AWS world of data analytics. The instructor spoke to the point and made relevant suggestions.
T
Tibor
5.0
·Reviewed May 30, 2021
Excellent, quick course, cleverly presenting combining Data Analytics and AWS services S3, QuickTrail, QuickSight and Athena.
P
Pavankumar
5.0
·Reviewed Apr 16, 2022
One of the best course for people who really want to know and learn about Amazon Web Servise.
From my side it highly recomadded for people.
O
Obasi
5.0
·Reviewed May 27, 2024
It is an amazing and awesome moment with Raf. Learning Data Analysis. The teaching and example is amazing. Am grateful to Coursera for this great opportunity.
S
Sheheryar
5.0
·Reviewed Jan 16, 2024
Good introductory course for Data Analytics on AWS and a preview of its main Cloud services which are available.
T
Tharindu
5.0
·Reviewed Dec 19, 2021
simple and perfect course for beginners who are like to enroll to the data analytics. highly appreciate.
D
DanielEduardo
5.0
·Reviewed Jul 25, 2021
excelent content. Super illustrative. Thank you so much for deliver it so well, Rafael.
K
Kipkemoi
5.0
·Reviewed Nov 2, 2021
amazing course indeed....its very simplified but extremely informative and exemplary
A
Animesh
5.0
·Reviewed May 7, 2022
A Wonderful introductry course for beginners in data analytics
S
Soojin
3.0
·Reviewed Jan 19, 2022
The depth of information is lower than I expected
O
Onkar
3.0
·Reviewed Apr 23, 2022
only 20 min course
N
Ngawang
5.0
·Reviewed Mar 29, 2023
This course is highly recommended for anyone interested in data science and business analytics. It's absolute beginner friendly and is great to start on your journey by first learning about descriptive data analysis and its solution by AWS (Amazon Web Service).
S
Sweekar
5.0
·Reviewed May 3, 2022
This is a short course for beginners like me who are interested in Data Analytics and want to perform Data Analytics on the cloud using AWS services like AWS S3, AWS Athena, AWS CloudTrail, and AWS QuikSight.
B
Brahamanand
5.0
·Reviewed Apr 26, 2022
I am so happy and thank you so much COURSERA for providing me an oppourtunity to learn AWS data analytics.
I learned basic AWS severces and many more.
A
Aneeq
5.0
·Reviewed Aug 27, 2023
The great thing about Coursera is the flexibility. You can learn anywhere, which is better than a rigid campus curriculum.
A
Ary
5.0
·Reviewed Dec 6, 2024
This is so helpful to understand basic sequence of how data analytics is and how AWS provide us about the services.
H
Hardikgiri
5.0
·Reviewed May 6, 2022
Perfect for beginners in cloud technology. Precise lengh of the course and wonderful flow of training with handons.
V
Vanshika
5.0
·Reviewed Aug 9, 2022
This course is advantageous for me to apply the practical knowledge in my studies as well as corporate world
J
Juan
5.0
·Reviewed Mar 17, 2024
Really this course created me more knowledge for understanding the data analytics. Thank you very much.