Overview
This regression analysis course provides participants with a comprehensive understanding of the statistical methods used to explore relationships between variables. By gaining expertise in regression analysis training, attendees will be equipped to make data-driven decisions and predict outcomes in various business scenarios.
The program covers different types of regression models, including linear and multiple regression, to help participants tackle real-world problems. Whether you’re pursuing an applied regression analysis course or seeking to advance your skills with advanced regression analysis, this course ensures practical knowledge that enhances analytical capabilities. By the end, participants will confidently apply applied regression methods to optimize business strategies, improve decision-making, and drive better performance across industries.
- Hands-on exercises using industry-specific datasets to practice regression analysis.
- Case studies showcasing the practical application of regression models in business scenarios.
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Introduction to Regression Analysis
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Simple Linear Regression
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Multiple Linear Regression
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Assumptions and Diagnostics of Regression Models
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Logistic Regression
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Polynomial Regression
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Regression Model Evaluation and Validation
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Advanced Regression Techniques
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Applications of Regression Analysis
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Hands-on Exercises and Case Studies