Udacity – Intro to Statistics: Making Decisions Based on Data (2015)

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.

Syllabus :

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

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.

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