The Statistics and Data Science concentration equips students to use data science to solve complex problems with data and drive important decision-making processes to add value to an organization.

Contemporary research in statistical data science has increasingly focused on likelihood‐free inference and simulation‐based approaches tailored to complex state‐space models.

Statistics, biostatistics, and data science are closely related fields. Broadly, they all teach a set of mathematical and computational skills for analysis and modeling of data, as well as ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other ...

Our client is seeking a data-driven and detail-oriented Data Analyst to join their team. This role is critical in transforming data into actionable insights that support strategic and operational ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

Our client is seeking a data-driven and detail-oriented Data Analyst to join their team. This role is critical in transforming data into actionable insights that support strategic and operational ...

1. Data quality Data quality is the cornerstone of any framework. It ensures the data used in decision-making processes is accurate, consistent, and reliable.

For Richards at OEDP, data-preservation efforts started right after Trump won the election in November. She and her colleagues remembered how Trump, a climate change denier, had removed some—mostly ...

Data availability statements To maintain high standards of transparency, research reproducibility, and to promote the reuse of new findings, a data availability statement (DAS) is required to be ...

We strongly recommend the completion of “Multivariable Calculus” on MIT OpenCourseWare before starting any of the MITx MicroMasters credential in Statistics and Data Science courses. To succeed in the ...