Machine Learning Algorithms (Coursera)

Coursera

University of Washington

Machine Teaching for Autonomous AI (Coursera)

Engineering

Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system.

Oct 5th 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

Details

Coursera

Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro (Coursera)

CS: Information & Technology Computer Science

Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho." Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo.

Sep 28th 2026

1 Week

Machine Learning Data Engineer Google Cloud

Details

Coursera

University of California, San Diego

Code Free Data Science (Coursera)

Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Sep 28th 2026

4 Weeks

Machine Learning Big Data Data Science

Details

Coursera

Johns Hopkins University

A Crash Course in Data Science (Coursera)

Management & Leadership Statistics & Data Analysis

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.

Sep 21st 2026

1 Week

Statistics Software Engineering Machine Learning

Details

Coursera

Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Health & Society Data Science

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Sep 28th 2026

4 Weeks

Healthcare Artificial Intelligence Machine Learning

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Coursera

Pontificia Universidad Católica de Chile

Introducción a la Minería de Datos (Coursera)

CS: Information & Technology

En este curso, aprenderás de manera gradual y práctica los conceptos básicos de Minería de Datos, junto a los algoritmos más utilizados hoy en día. Al finalizar el curso, serás capaz de entender la importancia de manejar la información y de explorar por ti mismo distintas bases de datos reales. Este curso es el primer paso para convertirte en un/a profesional con habilidades básicas de un científico de datos o Data Scientist, de manera tal que puedas abrirle la puerta al futuro.

Oct 5th 2026

5-12 Weeks

Algorithms Clustering Data Management

Details

Coursera

Columbia University

Decision Making and Reinforcement Learning (Coursera)

Computer Science

This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods.

Sep 28th 2026

5-12 Weeks

Algorithms Machine Learning Monte Carlo Method

Details

Coursera

Johns Hopkins University

The Unix Workbench (Coursera)

Data Science

Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app. The means to these goals are sometimes carried out by writing software. Software can’t be mined out of the ground, nor can software seeds be planted in spring to harvest by autumn. Software isn’t produced in factories on an assembly line. Software is a hand-made, often bespoke good. If a software developer is an artisan, then Unix is their workbench.

Sep 28th 2026

4 Weeks

Programming Unix Machine Learning

Details

Coursera

Illinois Tech

Cloud: Platform as a Service - Master's (Coursera)

CS: Information & Technology

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

Sep 28th 2026

5-12 Weeks

Cloud Security Machine Learning

Details

Coursera

Wesleyan University

Machine Learning for Data Analysis (Coursera)

Statistics & Data Analysis Data Science

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

Sep 21st 2026

4 Weeks

Python Machine Learning Data Analysis

Details

Coursera

University of California, San Diego

Genomic Data Science and Clustering (Bioinformatics V) (Coursera)

Sci: Biology & Life Sciences Health & Society

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.

Sep 21st 2026

3 Weeks

Clustering Bioinformatics Data Science

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Coursera

Illinois Tech

Cloud: Platform as a Service - Bachelor's (Coursera)

CS: Information & Technology

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

Sep 28th 2026

5-12 Weeks

Cloud Machine Learning PaaS

Details