Machine Learning for Everyone with Eric Siegel Specialization

WHAT YOU WILL LEARN

Lead ML: Manage or participate in the end-to-end implementation of machine learning
Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more
Greenlight ML: Forecast the effectiveness of and scope the requirements for a machine learning project and then internally sell it to gain buy-in
Regulate ML: Manage ethical pitfalls, the risks to social justice that stem from machine learning

Coursera

SAS

Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls (Coursera)

Data Science

Dive deep into the world of Machine Learning with 'Machine Learning Under the Hood'. This course unravels the complexities of ML, offering insights into its foundational principles, data analysis techniques, reliability of insights, and performance evaluation of predictive models. Perfect for business professionals aiming to harness the power of machine learning.

Mar 23rd 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

Coursera

SAS

The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats (Coursera)

Data Science

Discover how machine learning is revolutionizing businesses across various industries. From combating fraud to boosting sales and optimizing operations, this course provides a comprehensive guide on leveraging ML for competitive advantage. Whether you're in tech or business, learn the skills needed to successfully integrate machine learning into your organization's strategy.

Mar 16th 2026

4 Weeks

Artificial Intelligence Machine Learning Data Science

Coursera

SAS

Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership (Coursera)

Data Science

Embark on a journey to operational success with 'Launching Machine Learning'. This unique course prepares you for leading or contributing to machine learning initiatives from start to finish. Unlike traditional courses, it focuses on the crucial steps necessary to ensure your predictive analytics projects are not only successful but also effectively deployed into operations.

Mar 16th 2026

4 Weeks

Artificial Intelligence Machine Learning Leadership

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