Managing, Describing, and Analyzing Data

The University of Colorado Boulder, situated against the stunning backdrop of the Rocky Mountains, is a flagship institution renowned for its academic excellence, research prowess, and vibrant campus life. CU Boulder has evolved into a hub of innovation and intellectual exploration. The university offers a diverse range of undergraduate, graduate, and professional programs across various disciplines, encouraging students to pursue their passions and make meaningful contributions to society. At CU Boulder, students engage with world-class faculty who are leaders in their fields, fostering an environment that promotes critical thinking and creativity. The campus is a melting pot of ideas and cultures, providing a rich tapestry of experiences for students. With a commitment to sustainability and a focus on cutting-edge research, the University of Colorado Boulder continues to be a beacon of higher education, preparing students to navigate the complexities of our ever-changing world.

In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used in the analysis of data. You will analyze data sets using the appropriate probability distribution. Finally, you will learn the basics of sampling error, sampling distributions, and errors in decision-making.This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.