Let’s take a closer look at the broad importance of statistics. Along the way, you’ll see how seizing an opportunity to learn statistics, earn a related degree—such as the Online Master of Science in ...

At Smith, students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their ...

Though class titles vary, a typical “advanced” statistics course will cover more complex analyses such as factorial ANOVA and multiple regression. Courses such as this provide the foundation for ...

Experiential learning is central to the Statistics and Data Science experience. Through internships, research, and study abroad programs, you’ll apply classroom knowledge to real-world problems, ...

This course focuses on statistical methods for machine learning, a decades-old topic in statistics that now has a life of its own, intersecting with many other fields. While the core focus of this ...

The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and exploration to application of statistics and machine learning methods to the creation ...

Learn more. Machine Learning Statistics: Machine learning is the study of teaching machines to learn without explicitly programming them. This is a form of artificial intelligence that allows ...

Applied statisticians also use advanced techniques, such as machine learning algorithms, to extract insights and patterns from large datasets. Experts in applied statistics work in several settings: ...

Learn more. Game-based Learning Statistics: Game-based learning uses gaming principles to make education engaging and motivating. It involves using games, whether digital or analog, to encourage ...