Intro to Statistics

Course
en
English
This content is rated 4.5 out of 5
Source
  • From www.udacity.com
Conditions
  • Self-paced
  • Free Access
More info
  • 8 Sequences
  • Introductive Level

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Course details

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

Prerequisite

None.

Instructors

  • 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.

Platform

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.

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