Statistics's Full Profile
Course Summary NOTE: This course has been divided into two courses: Descriptive and Inferential Statistics. If you are new to statistics, we recommend taking these courses instead. We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life. Why Take This Course? The applications of statistics to everyday life Methods for acquiring data through observation and experimentation To organize and describe quantitative and categorical forms of data Anticipating patterns using basic probability and sampling Statistical inference through estimation and hypothesis testing Correlation and simple regression Ways of describing the strength of relationships between variables
Days of the Week:
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
- Level of Difficulty: Beginner
- Size: Massive Open Online Course
- Instructors: Katie Kormanik, Ronald Rogers, Sean Laraway
- Institution: Udacity
- Topics: Algebra, Statistics
Udacity was born out of a Stanford University experiment in which Sebastian Thrun and Peter Norvig offered their Introduction to Artificial Intelligence course online to anyone, for free. Over 160,000 students in more than 190 countries enrolled and not much later, Udacity was born. They are a growing team of educators and engineers on a mission to change the future of education. By making high-quality classes affordable and accessible for students across the globe: Udacity is democratizing education.
Udacity Offers Courses In:
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