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.
Getting Started with Data Analytics on AWS
Getting Started with Data Analytics on AWS
Instructor: Rafael Lopes
Access provided by Université Mohammed VI des Sciences de la Santé (UM6SS)
78,130 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(904 reviews)
Beginner level
No prior experience required
Flexible schedule
2 hours to complete
Learn at your own pace
98%
Most learners liked this course
What you'll learn
Explain different types of data analyses – descriptive, diagnostic, predictive, prescriptive
Understand how to perform descriptive data analytics in the cloud with typical data sets
How to build simple visualizations in AWS QuickSight to do descriptive analytics (using S3, Cloudtrail, Athena)
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills
There is 1 module in this course
Dive into the world of data analytics using Amazon Web Services (AWS) in this comprehensive introductory course. Designed for beginners and intermediate learners, this course provides a solid foundation in data analytics concepts while introducing you to powerful AWS tools and services that can transform your data into actionable insights.
What's included
9 videos3 readings1 assignment1 plugin
Instructor
Instructor ratings
4.7 (337 ratings)Offered by
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4.5
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AA
5
Reviewed on Aug 26, 2023
The great thing about Coursera is the flexibility. You can learn anywhere, which is better than a rigid campus curriculum.
TT
5
Reviewed on May 29, 2021
Excellent, quick course, cleverly presenting combining Data Analytics and AWS services S3, QuickTrail, QuickSight and Athena.
OC
5
Reviewed on May 26, 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.
