In this course, you will be introduced to the basics of artificial intelligence and machine learning and how they are applied in real-world scenarios in the AI for Good space. You will also be introduced to a framework for problem solving where AI is part of the solution. The course concludes with a case study featuring three Jupyter notebook labs where you’ll create an air quality monitoring application for the city of Bogotá, Colombia.
AI and Public Health
AI and Public Health
This course is part of AI for Good Specialization
Instructor: Robert Monarch
Sponsored by PKO BP
14,596 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(210 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 8 hours
Learn at your own pace
99%
Most learners liked this course
Skills you'll gain
- Computer Science
- Exploratory Data Analysis
- Applied Machine Learning
- Artificial Intelligence
- Environmental Monitoring
- Predictive Modeling
- Data Analysis
- Analytics
- Data Governance
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Ethics
- Statistical Modeling
- Jupyter
- Python Programming
- Predictive Analytics
- Data Management
- Statistics
- Computer Programming
- Data Science
- Machine Learning
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
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This course is part of the AI for Good Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
What's included
10 videos4 readings1 assignment1 app item
What's included
18 videos3 readings2 assignments1 ungraded lab
What's included
9 videos3 readings1 assignment2 ungraded labs
Instructor
Instructor ratings
4.9 (81 ratings)Offered by
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Learner reviews
4.8
210 reviews
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Showing 3 of 210
DL
5
Reviewed on Aug 3, 2023
This is a fantastic course. Really inspirational. Andd the code is an excellent way to learn how to sustainably fish for yourself! Thanks and all the best, David
JJ
5
Reviewed on Jul 18, 2023
It was a bonus learning Spanish (w/ subtitles on) and Python in action
TN
4
Reviewed on Jan 6, 2024
In the area of the Labs, I expected it to be slightly more mentally challenging. Giving participants opportunity to make informed guesses and then autocorrecting errors.
Recommended if you're interested in Data Science
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