University of California, Berkeley

Explore the causes of limited transparency in social science research, and tools to make your own work more open and reproducible. Demand is growing for evidence-based policy making, but there is growing recognition in the social science community that limited transparency and openness in research have contributed to widespread [...]

A computer science principles course for anyone who wants to learn how to translate ideas into code. Discover the big ideas and thinking practices in computer science plus learn how to code using one of the friendliest programming languages, Snap! (based on Scratch).

Learn how to use solution-based journalism to impel positive social change.

Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization.

Learn the fundamentals and architecture of Apache Spark, the leading cluster-computing framework among professionals. Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers [...]

An introduction to descriptive statistics, emphasizing critical thinking and clear communication. We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions [...]