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

  •   Machine Learning
  •   Unsupervised Learning
  •   Statistical Methods
  •   Regression Analysis
  •   Predictive Modeling
  •   Statistical Analysis
  •   Deep Learning
  •   Classification And Regression Tree (CART)
  •   Machine Learning Algorithms
  •   Artificial Neural Networks
  •   Statistical Modeling
  •   Decision Tree 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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