Data Science

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The Outcomes and Interventions of Health Informatics (Coursera) Coursera
Johns Hopkins University

The Outcomes and Interventions of Health Informatics (Coursera)

Dive into 'The Outcomes and Interventions of Health Informatics' to understand how clinical data science drives impactful decisions in healthcare. This course explores the translation of health informatics into actionable interventions that improve patient outcomes, streamline clinical processes, and optimize healthcare management.

Sep 7th 2026
4 Weeks
Artificial Intelligence Ethics in Action (Coursera) Coursera
LearnQuest

Artificial Intelligence Ethics in Action (Coursera)

Dive into the world of Artificial Intelligence Ethics with our expert-led course. Gain a deep understanding of the ethical considerations surrounding AI, and learn practical ways to integrate these principles into your work. Whether you're a developer, data scientist, or simply interested in the future of technology, this course will equip you with the knowledge to navigate the complex landscape of AI ethics.

Sep 7th 2026
3 Weeks
Artificial Intelligence Algorithms Models and Limitations (Coursera) Coursera
LearnQuest

Artificial Intelligence Algorithms Models and Limitations (Coursera)

Dive into the fascinating realm of Artificial Intelligence with our expert-led course. Discover how algorithms evolve from basic to fully-autonomous, and gain insights into making them ethically responsible. This course is perfect for those interested in understanding AI's inner workings and its potential impact on society.

Sep 7th 2026
4 Weeks
Artificial Intelligence Privacy and Convenience (Coursera) Coursera
LearnQuest

Artificial Intelligence Privacy and Convenience (Coursera)

Dive into the world of Artificial Intelligence Privacy and Convenience, where we unravel the complexities involved in securing and maintaining privacy within machine learning projects. This course will equip you with essential knowledge and skills to navigate the challenges of balancing user privacy and system convenience in AI applications.

Sep 7th 2026
3 Weeks
Natural Language Processing with Attention Models (Coursera) Coursera
DeepLearning.AI

Natural Language Processing with Attention Models (Coursera)

Dive into the world of Natural Language Processing with our expert-led course on Attention Models. Whether you're a budding data scientist or an experienced software engineer, this course will equip you with the skills to understand and implement advanced NLP techniques using attention models. Start your journey towards mastering natural language understanding today!

Sep 7th 2026
4 Weeks
Getting Started with Teaching Data Science in Schools (FutureLearn) FutureLearn
University of Glasgow

Getting Started with Teaching Data Science in Schools (FutureLearn)

Embark on a journey to introduce data science into your classroom with our beginner-friendly course. Gain insights, practical teaching methods, and strategies to foster students' understanding of data interpretation and application in everyday life. This course is designed for educators looking to bridge the gap between traditional curriculum and the modern world's reliance on data.

Self Paced
3 Weeks
Fundamentals of TinyML (edX) EdX
HarvardX,Harvard University

Fundamentals of TinyML (edX)

Dive into the basics of machine learning applied to tiny devices with our Fundamentals of TinyML course. Gain a solid foundation in this emerging technology that's revolutionizing embedded systems such as wearables and IoT gadgets. Learn from experts and start your journey into the fascinating world of Tiny Machine Learning.

Self Paced
Self-Paced
Data – What It Is, What We Can Do With It (Coursera) Coursera
Johns Hopkins University

Data – What It Is, What We Can Do With It (Coursera)

Unlock the secrets of data analysis with 'Data – What It Is, What We Can Do With It' on Coursera. This course will equip you with essential skills in interpreting descriptive statistics, conducting causal analyses, and creating effective visualizations to derive valuable insights from data. Perfect for beginners looking to understand the basics or professionals aiming to refine their analytical skills.

Sep 7th 2026
4 Weeks