Enroll Course: https://www.coursera.org/learn/sas-statistics
In today’s data-driven world, the ability to analyze and interpret data is more crucial than ever. For those looking to enhance their statistical skills using SAS software, the ‘Statistics with SAS’ course on Coursera is an excellent choice. This introductory course is tailored for SAS users who want to perform statistical analyses using SAS/STAT software, focusing on essential techniques such as t tests, ANOVA, linear regression, and a brief introduction to logistic regression.
### Course Overview
The course begins with a solid foundation, guiding you through the setup of the data you’ll be analyzing. This initial module ensures that you are well-prepared for the practical applications that follow.
### Key Modules
1. **Introduction and Review of Concepts**: This module covers fundamental statistical concepts, including hypothesis testing and p-values. You will learn to apply one-sample and two-sample t tests, which are crucial for confirming or rejecting hypotheses.
2. **ANOVA and Regression**: Here, you will explore graphical tools to identify useful predictors and learn about correlation analyses. The module emphasizes the importance of ANOVA and regression in assessing relationships between response and predictor variables.
3. **More Complex Linear Models**: This module expands your knowledge by introducing two-way ANOVA and multiple regression with two predictors. You will gain the skills to fit and interpret models with multiple variables, a vital skill in advanced statistical analysis.
4. **Model Building and Effect Selection**: You will learn various tools for model selection, helping you choose the most appropriate model based on your expertise and research priorities.
5. **Model Post-Fitting for Inference**: This module focuses on verifying model assumptions and diagnosing potential issues in linear regression, such as identifying outliers and addressing collinearity.
6. **Model Building for Scoring and Prediction**: Transitioning from inferential statistics to predictive modeling, you will learn to assess models using honest assessments and deploy them for predicting new data.
7. **Categorical Data Analysis**: The final module covers associations between predictors and binary responses, teaching you how to build and interpret logistic regression models.
### Conclusion
Overall, the ‘Statistics with SAS’ course on Coursera is a comprehensive introduction to statistical analysis using SAS software. It is well-structured, with clear explanations and practical applications that make complex concepts accessible. Whether you are a beginner or looking to refresh your skills, this course provides valuable insights and hands-on experience.
I highly recommend this course to anyone interested in enhancing their statistical analysis skills with SAS. The knowledge gained here will undoubtedly be beneficial in various fields, including research, business, and data science.
Enroll Course: https://www.coursera.org/learn/sas-statistics