About the content
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.
Lesson 1: Visualizing relationships in dataSeeing relationships in data and predicting based on them; Simpson's paradox
Lesson 2: ProbabilityProbability; Bayes Rule; Correlation vs. Causation
Lesson 3: EstimationMaximum Likelihood Estimation; Mean, Median, Mode; Standard Deviation, Variance
Lesson 4: Outliers and Normal DistributionOutliers, Quartiles; Binomial Distribution; Central Limit Theorem; Manipulating Normal Distribution
Lesson 5: InferenceConfidence intervals; Hypothesis Testing
Lesson 6: RegressionLinear regression; correlation ###Lesson 7: Final Exam
- Sebastian Thrun - 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.
Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company's desire to be "audacious for you, the student". While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.