In this course, you will discover how to solve business problems with machine learning, no coding required. You will explore Amazon SageMaker Canvas, a visual point-and-click interface that allows you to generate accurate ML predictions without requiring any machine learning experience or having to write a single line of code. At the end of the course, you will walk away understanding how to make better business decisions using no-code machine learning.
Practical Decision-Making Using No-code ML on AWS
Taught in English
Some content may not be translated
4,334 already enrolled
(17 reviews)
Recommended experience
What you'll learn
Shape a question and shape data into the right format to answer that question
Build and evaluate a machine learning model without writing code
Generate predictions and make practical business decisions from your model
Skills you'll gain
Details to know
Add to your LinkedIn profile
3 quizzes
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There is 1 module in this course
Discover how to solve business problems with machine learning. No coding required using Amazon SageMaker Canvas.
What's included
18 videos10 readings3 quizzes7 app items
Instructor
Offered by
Recommended if you're interested in Machine Learning
Amazon Web Services
Coursera Project Network
Coursera Project Network
Why people choose Coursera for their career
Learner reviews
Showing 3 of 17
17 reviews
- 5 stars
70.58%
- 4 stars
11.76%
- 3 stars
17.64%
- 2 stars
0%
- 1 star
0%
New to Machine Learning? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
In this course, we cover both supervised learning and unsupervised learning, however this course is based on supervised learning. The course predominantly focuses on using structured tabular data, such as spreadsheets and database tables, to explain and predict a specific variable (structured supervised machine learning). The course also covers other types like unstructured and unsupervised methods of machine learning.
This course covers Amazon SageMaker Canvas, which provides a visual point-and-click interface to build ML models and generate accurate predictions—no code required. With Amazon SageMaker Canvas, you can quickly connect, access, and combine data, and create unified datasets for training ML models with automatic data cleansing, automatically create ML models so you can generate accurate predictions—whether singular or in bulk, and share models and datasets with data scientists so they can validate and further refine ML models.
No! You do not need any prior machine learning or coding experience to take this course, but you do need critical thinking skills.