Regression Analysis - Statistics For Data Science | Lecture Notes - YNetStudyHub
Statistics For Data Science

Regression Analysis

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Learning about regression analysis methods, including linear regression, multiple regression, logistic regression, and their use in analyzing relationships between variables in data science.

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Regression Analysis Definition: Regression analysis is a statistical method used to examine the relationships between one dependent variable and one or more independent variables. Types of Regression Analysis: Simple Linear Regression: Involves one independent variable to predict the dependent variable. Multiple Linear Regression: Includes two or more independent variables to predict the depen...…

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Unit Syllabus 30 Topics
1
Introduction to Statistics
Probability Theory
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Data Visualization
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Sampling and Estimation
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Hypothesis Testing
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Regression Analysis
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ANOVA and Experimental Design
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Time Series Analysis
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Bayesian Statistics
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Machine Learning and Statistics
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Introduction to Statistics
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Descriptive Statistics
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Inferential Statistics
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Probability Theory
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Sampling Techniques
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Correlation and Regression Analysis
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Statistical Testing
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Data Visualization
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Bayesian Statistics
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Time Series Analysis
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Introduction to Statistics
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Descriptive Statistics
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Probability Theory
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Inferential Statistics
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Regression Analysis
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Data Visualization
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Correlation Analysis
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Sampling Methods
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Experimental Design
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Bayesian Statistics
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