Data Intelligence, Business Analytics
Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.
This course does not require any previous knowledge of statistics. Basic familiarity with algebra such as knowing how to compute the mean, median and mode of a set of numbers will be helpful.
This course will cover visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.
Sebastian Thrun is a Research Professor of Computer Science at Stanford University, a Google Fellow, a member of the National Academy of Engineering and the German Academy of Sciences. Thrun is best known for his research in robotics and machine learning, specifically his work with self-driving cars.
Adam spent seven years inferring and monitoring how people drive, and helping to start and buy lending businesses. Now instead of filling his days with never-ending database queries and presentations, Adam hopes to help everyone learn statistics.
Seeing relationships in data and predicting based on them; dealing with noise
Random processes; counting, computing with sample spaces; conditional probability; Bayes Rule
Normal distributions; the central limit theorem; adding random variables
Sampling distributions; confidence intervals; hypothesis tests; outliers
Least squares;residuals; inference
Transformation; smoothing; regression for two or more variables, categorical variables
Statistics vs machine learning; what to study next; where statistics is used
Hi Sebastian Thrun,
How do I access this Course: Introduction to Statistics ?
If you go to UDACity.com, you can find this course listed on that page or search for it.