Intro to Statistics

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  • 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 est une entreprise fondé par Sebastian Thrun, David Stavens, et Mike Sokolsky offrant cours en ligne ouvert et massif.

Selon Thrun, l'origine du nom Udacity vient de la volonté de l'entreprise d'être "audacieux pour vous, l'étudiant ". Bien que Udacity se concentrait à l'origine sur une offre de cours universitaires, la plateforme se concentre désormais plus sur de formations destinés aux professionnels.

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