Enroll Course: https://www.coursera.org/learn/regression-modeling-sas
In the age of data-driven decision-making, mastering statistical analysis tools is essential, and there’s no better way to start than with the Regression Modeling Fundamentals course offered on Coursera. Specifically designed for SAS software users aiming to enhance their statistical analysis capabilities using SAS/STAT software, this introductory course dives deep into the realms of t-tests, ANOVA, and linear regression, with a brief introduction to logistic regression.
The course is structured into several comprehensive modules, each building upon the knowledge gained in prior lessons:
- Course Overview (Review from Introduction to Statistics: Hypothesis Testing) – You begin with an understanding of the course logistics and familiarize yourself with the datasets you’ll be exploring. Setting up your data effectively lays the groundwork for meaningful analyses.
- Model Building and Effect Selection – This module introduces you to various model selection techniques that streamline the selection process, ensuring you choose the model that fits best with your research objectives and expertise.
- Model Post-Fitting for Inference – Here, you learn the crucial skills of verifying model assumptions, diagnosing issues within linear regression, and identifying influential observations that could skew your findings. This practical approach is vital for maintaining the integrity of your analyses.
- Model Building for Scoring and Prediction – Transitioning to predictive modeling, this module reframes the assessment of models away from p-values and illustrates how to properly deploy your chosen models to make predictions on new data.
- Categorical Data Analysis – Finally, this module focuses on understanding associations between predictors and binary responses. You’ll learn to build logistic regression models and develop classifiers to predict unknown cases, expanding your analytical toolkit.
What sets this course apart is its practical approach and the use of real-world datasets, making it highly relevant for professionals and students alike. The ability to learn through the SAS software enables users to apply their newfound skills directly to their work or projects in a professional setting.
Given the thorough nature of the content, it’s suitable not only for those new to regression modeling but also for practitioners looking to refresh their knowledge. The course does an excellent job of balancing theoretical concepts with hands-on application, which is a necessity in today’s data-centric landscape.
If you are looking to deepen your understanding and skills in regression analysis, I wholeheartedly recommend enrolling in the Regression Modeling Fundamentals course on Coursera. You will emerge equipped to tackle real-world data problems with confidence and precision.
Enroll Course: https://www.coursera.org/learn/regression-modeling-sas