Statistical Learning for Data Science Specialization

Advanced Stats for Data Science Mastery. Master knowledge and skills to communicate model choices and interpretations effectively

Instructors: Osita Onyejekwe +1 more

What you'll learn

  •   Express why Statistical Learning is important and how it can be used.
  •   Explain the pros and cons of certain models in certain situations.
  •   Apply many regression and classification techniques.

    • Skills you'll gain

  •   R Programming
  •   Applied Machine Learning
  •   Regression Analysis
  •   Machine Learning
  •   Classification And Regression Tree (CART)
  •   Predictive Modeling
  •   Unsupervised Learning
  •   Statistical Methods
  •   Statistical Analysis
  •   Machine Learning Algorithms
  •   Decision Tree Learning
  •   Statistical Machine Learning

    • Specialization - 3 course series

    Throughout the specialization, learners will complete many programming assignments designed to help learners master statistical learning concepts, including regression, classification, trees, SVM, unsupervised learning, splines, and resampling methods.

    Resampling, Selection and Splines

    Trees, SVM and Unsupervised Learning

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