Harvard University

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AP® Computer Science Principles (edX) EdX
Harvard University

AP® Computer Science Principles (edX)

Dive into the world of computer science with CS50 AP, Harvard University's engaging introduction to the intellectual enterprises of computing and the art of programming. This course is meticulously crafted for high school students, aligning perfectly with the College Board's new AP CS Principles curriculum framework. Whether you're a budding programmer or just curious about how computers work, this course offers an in-depth exploration into computational thinking, algorithms, data structures, and more, all while preparing you for the AP exam.

Self Paced
Self-Paced
PredictionX: Diviner’s Guide (edX) EdX
HarvardX,Harvard University

PredictionX: Diviner’s Guide (edX)

Dive into the intriguing world of divination with 'PredictionX: Diviner’s Guide', an edX course that unravels the mysteries of fortune-telling across civilizations. From ancient rituals to contemporary practices, this course offers a comprehensive look at how humanity has sought to peer into the future. Whether you're curious about your own destiny or captivated by the historical significance of divination, this course is your gateway to understanding the art and science of prediction.

Self Paced
Self-Paced
Causal Diagrams: Draw Your Assumptions Before Your Conclusions (edX) EdX
Harvard University

Causal Diagrams: Draw Your Assumptions Before Your Conclusions (edX)

Discover how to use intuitive pictures to enhance your approach to studying causality with 'Causal Diagrams: Draw Your Assumptions Before Your Conclusions'. This course introduces simple graphical rules that help in designing better studies and analyzing data for causal inference. Learn the revolutionary method of using causal diagrams to ask, 'Does X have a causal effect on Y?' and understand how this tool can clarify research paradoxes, identify biases, and select appropriate adjustment variables.

Self Paced
Self-Paced
Principles, Statistical and Computational Tools for Reproducible Science (edX) EdX
HarvardX,Harvard University

Principles, Statistical and Computational Tools for Reproducible Science (edX)

Embark on a journey towards trust-worthy research outcomes with our Principles, Statistical and Computational Tools for Reproducible Science course. Gain expertise in data science methodologies and learn how to make your research reproducible, ensuring reliability and transparency across various fields including astrophysics, biology, and social sciences.

Self Paced
Self-Paced
Data Science: Machine Learning (edX) EdX
HarvardX,Harvard University

Data Science: Machine Learning (edX)

Embark on an exciting journey into the world of Data Science with our 'Data Science: Machine Learning' course from edX. This course will equip you with the skills needed to construct powerful prediction algorithms using real-world datasets. Dive deep into understanding machine learning, a cornerstone technique that has revolutionized industries worldwide.

Self Paced
Self-Paced
Big Data Solutions for Social and Economic Disparities (edX) EdX
HarvardX,Harvard University

Big Data Solutions for Social and Economic Disparities (edX)

Discover the power of big data in tackling social issues with 'Big Data Solutions for Social and Economic Disparities.' This online course, led by esteemed Harvard professor Raj Chetty, will equip you with insights on how to use data analytics to measure and mitigate disparities. Uncover the hidden factors that influence economic mobility and learn about the impact of growing up in different neighborhoods.

Self Paced
Self-Paced
Evaluating Upward Mobility: The Fading American Dream (edX) EdX
HarvardX,Harvard University

Evaluating Upward Mobility: The Fading American Dream (edX)

Dive into 'Evaluating Upward Mobility: The Fading American Dream' with Professor Raj Chetty from Harvard University. This course unravels the intricate history of socioeconomic mobility, focusing on how geography has shaped access to opportunity in America. Learn about the past, understand the present challenges, and envision a future where upward mobility is accessible for all.

Self Paced
Self-Paced