Computer Science / Self-paced courses

Put the keystone in your Python Data Science skills by becoming proficient with Data Visualization and Modeling. This course is suited for intermed... >>

Computer Science / Self-paced courses

Modern programs are complicated structures, with hundreds to thousands of lines of code, but how do you efficiently move from smaller programs to m... >>

Computer Science / Self-paced courses

How can you effectively use Python to clean, sort, and store data? What are the benefits of using the Pandas library for data science? What best pr... >>

Computer Science / Self-paced courses

Become proficient in NumPy, a fundamental Python package crucial for careers in data science. This comprehensive course is tailored to novice progr... >>

Computer Science / Self-paced courses

This introductory course is designed for beginners and individuals with limited programming experience who want to embark on their software develop... >>

Business & Management / Self-paced courses

This course focuses on how data science can be used to make more informed and agile business decisions. You will learn how to collect, analyze, and... >>

Business & Management / Self-paced courses

In this course, you will learn how to build and utilize agile dashboards that provide real-time insights into your organization’s performance. You ... >>

Computer Science / Self-paced courses

This course is your third course that highlights the ethical responsibilities we have as statisticians and data scientists when working with data. ... >>

Computer Science / Self-paced courses

Welcome to Data Tidying and Importing with R, the second course in the Data Science with R Specialization! This course aims to better develop your ... >>

Computer Science / Self-paced courses

This course is an introduction to data science and statistical thinking. Learners will gain experience with exploring, visualizing, and analyzing d... >>

Computer Science / Self-paced courses

A comprehensive, hands-on guide to Explainable Machine Learning, empowering you to develop AI solutions that are aligned with responsible AI princi... >>

Computer Science / Self-paced courses

Gain an understanding of the emerging field of Mechanistic Interpretability and its use in understanding large language models. >>

Computer Science / Self-paced courses

This course provides a comprehensive introduction to Explainable AI (XAI), empowering you to develop AI solutions that are aligned with responsible... >>

Environmental Studies / Non-credit certificates

In this Duke Environment+ beginner-level course, you’ll learn how drones are transforming the environmental sciences — and how this technology can ... >>

Environmental Studies / Instructor-led courses

Gain hands-on experience with drone data and modern analytical software needed in environmental research. >>

Environmental Studies / Instructor-led courses

Learn the basics of drone flight operations, how to become legally certified, and how to fly effectively for scientific research purposes. >>

Environmental Studies / Instructor-led courses

Learn the basics to becoming a scientist pilot, an aviation professional focused on providing key services to environmental programs using drones. >>

Computer Science / -

This Specialization provides a foundational understanding of how machine learning works and when and how it can be applied to solve problems. >>

Computer Science / Specializations

Launch Your Career in Cloud Computing. Master strategies and tools to become proficient in developing data science and machine learning solutions i... >>

Statistics & Data Analysis / Self-paced courses

Learn how to use the advanced methods of instrumental variables and regression discontinuity to find causal effects. >>

Computer Science / Self-paced courses

Get a foundational understanding of machine learning models applicable to a variety of industries. >>

Statistics & Data Analysis / Self-paced courses

Learn the basic concepts behind causal inference in the first of course of the series, "Causal Inference with R." >>

Statistics & Data Analysis / Self-paced courses

Learn about experiment design and working with data from experiments in the second course of the seven-part series, "Causal Inference with R." >>

Statistics & Data Analysis / Self-paced courses

Learn how to use regression to find causal effects in the third course of the seven-part series, "Causal Inference with R." >>