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Master Statistics with Python

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Overview

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Learn the statistics behind data science, from summary statistics to regression models. Includes **Statistics**, **Experimental Design**, **Python**, **pandas**, **NumPy**, **SciPy**, **matplotlib**, and more.

Syllabus

  • Variable Types
    • Learn about variable types and how to store them in Python.
  • Summary Statistics for Quantitative Data
    • Learn how to summarize quantitative data in Python using summary statistics.
  • Visualizing a Distribution of Quantitative Data
    • Learn how to visualize and describe a distribution of quantitative data using histograms, box plots, and quantiles/quartiles.
  • Summary Statistics for Categorical Data
    • Learn how to summarize categorical variables in Python using numerical summary statistics.
  • Visualizing Categorical Data
    • Learn how to visualize and describe categorical data using bar charts and pie charts.
  • Associations between Variables
    • Learn how to investigate whether there is an association between two variables.
  • Probability
    • Learn the fundamentals of probability by investigating random events.
  • Hypothesis Testing
    • Learn about hypothesis testing and how to design an experiment in Python.
  • Linear Regression
    • Learn how to fit, interpret, and compare linear regression models in Python.

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