Statistics with Python Specialization

Practical and Modern Statistical Thinking For All. Use Python for statistical visualization, inference, and modeling

Instructors: Brenda Gunderson +2 more

What you'll learn

  •   Create and interpret data visualizations using the Python programming language and associated packages & libraries
  •   Apply and interpret inferential procedures when analyzing real data
  •   Apply statistical modeling techniques to data (ie. linear and logistic regression, linear models, multilevel models, Bayesian inference techniques)
  •   Understand importance of connecting research questions to data analysis methods.

    • Skills you'll gain

  •   Regression Analysis
  •   Data Visualization
  •   Bayesian Statistics
  •   Jupyter
  •   Statistical Programming
  •   Sampling (Statistics)
  •   Predictive Modeling
  •   Statistical Methods
  •   Statistical Hypothesis Testing
  •   Matplotlib
  •   Statistics
  •   Statistical Analysis

    • Specialization - 3 course series

    The courses in this specialization feature a variety of assignments that will test the learner’s knowledge and ability to apply content through concept checks, written analyses, and Python programming assessments. These assignments are conducted through quizzes, submission of written assignments, and the Jupyter Notebook environment.

    Inferential Statistical Analysis with Python

    Fitting Statistical Models to Data with Python

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