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<p>Scientists are driven by one goal: To identify patterns in data and build models that can predict and describe them. The most basic pattern is a linear relationship between two variables. This course will teach you how to explore, quantify and model linear relationships in data. This course will cover techniques like least squares, linear regression, and estimation. This course will show you how to make the most of the Python data science ecosystem's most powerful tools. This course will teach you how to use python to create and analyze linear models. This course also gives you an introduction to modeling and provides the foundation for advanced techniques in statistics, machine-learning, and machine-learning.</p>

Jason Vestuto

Learn Introduction to Linear Modeling in Python  by DataCamp and upskill your career by acquiring skills like Statistical Hypothesis Testing,Python Programming etc with Careervira.

Introduction to Linear Modeling in Python

DataCamp

Learn all about linear models and their uses using Python. It is possible to create models that predict, predict, and extract insights from data patterns.

Introduction to Linear Modeling in Python

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