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Stanford University via edX

Statistical Learning with Python

4.625 ratings at edX

Overview

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

What you'll learn

  • Overview of statistical learning
  • Linear regression
  • Classificaiton
  • Resampling methods
  • Linear model selection and regularization
  • Moving beyond linearity
  • Tree-based methods
  • Support vector machines
  • Deep learning
  • Survival modeling
  • Unsupervised learning
  • Multiple testing

Skills you'll practise

Linear Discriminant AnalysisBootstrap (Front-End Framework)Python (Programming Language)Lasso (Programming Language)Logistic RegressionMathematicsLecturingDeep LearningSupport Vector MachineStatisticsRandom Forest AlgorithmPolynomial RegressionBasic MathUnsupervised LearningSupervised LearningSupport Vector Machines (SVM)BoostingK-Means ClusteringStatistical ModelingArtificial Neural NetworksStatistical Learning TheoryPrincipal Component AnalysisData Science

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • The actual Stanford lectures (CS229, CS224N, CS231N…): the deepest free material on AI anywhere.
  • Taught by Stanford University, one of the strongest names in its field.
  • Self-paced: start any time.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Graduate level: needs linear algebra, probability and programming first.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $186). Audit access may end after the course closes.

Taught by

  • Trevor HastieJohn A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
  • Robert TibshiraniProfessor of Biomedical Data Science and Statistics
  • Jonathan TaylorProfessor of Statistics

Stanford University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (97/100).

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