datacamp

Introduction to Linear Modeling in Python


  • flag Datacamp
  • student All Levels
  • database video
  • earth English
  • clock 4h

About

Explore the concepts and applications of linear models with python and build models to describe^ predict^ and extract...

Covered topics:

  • Statistics Fundamentals with Python

Description

One of the primary goals of any scientist is to find patterns in data and build models to describe^ predict^ and extract insight from those patterns. The most fundamental of these patterns is a linear relationship between two variables. This course provides an introduction to exploring^ quantifying^ and modeling linear relationships in data^ by demonstrating techniques such as least-squares^ linear regression^ estimatation^ and bootstrap resampling. Here you will apply the most powerful modeling tools in the python data science ecosystem^ including scipy^ statsmodels^ and scikit-learn^ to build and evaluate linear models. By exploring the concepts and applications of linear models with python^ this course serves as both a practical introduction to modeling^ and as a foundation for learning more advanced modeling techniques and tools in statistics and machine learning.