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.
Why Take This Course?
This course will cover visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.
Prerequisites and Requirements
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.
Lesson 1: Visualizing relationships in data
Seeing relationships in data and predicting based on them; Simpson’s paradox
Lesson 2: Probability
Probability; Bayes Rule; Correlation vs. Causation
Lesson 3: Estimation
Maximum Likelihood Estimation; Mean, Median, Mode; Standard Deviation, Variance
Lesson 4: Outliers and Normal Distribution
Outliers, Quartiles; Binomial Distribution; Central Limit Theorem; Manipulating Normal Distribution
Lesson 5: Inference
Confidence intervals; Hypothesis Testing
Lesson 6: Regression
Linear regression; correlation
Lesson 7: Final Exam
Instructors & Partners
Sebastian Thrun is founder of Udacity. He is Research Professor of Computer Science at Stanford University, and a member of the National Academy of Engineering and the German Academy of Sciences. He was Google Vice President and Fellow where he founded Google X that generated the self-driving car, Google Glass and Loon among other projects. Thrun is best known for his research in robotics, artificial intelligence and machine learning.