Enroll Course: https://www.coursera.org/learn/statistical-analysis-hypothesis-testing-sas
For anyone looking to deepen their understanding of statistical analysis, especially within the SAS ecosystem, Coursera’s ‘Introduction to Statistical Analysis: Hypothesis Testing’ is a gem. This course is specifically tailored for SAS software users, making it incredibly practical for those who regularly employ SAS/STAT for their analytical needs.
The course kicks off with a solid foundation, covering essential data setup and providing a clear overview of what to expect. The initial module is crucial for ensuring everyone is on the same page before diving into the core concepts.
What truly shines is the ‘Introduction and Review of Concepts’ module. Here, you’ll revisit fundamental statistical principles like sampling distributions, hypothesis testing, p-values, and confidence intervals. The practical application of one-sample and two-sample t-tests to real data to test hypotheses is an excellent way to solidify theoretical knowledge.
The subsequent modules on ‘ANOVA and Regression’ and ‘More Complex Linear Models’ are where the power of SAS/STAT truly comes to life. You’ll learn to leverage graphical tools to identify potential predictors, understand correlation analyses for linear relationships, and effectively use ANOVA and regression to assess the quality of these relationships. The progression from simple linear regression to multiple regression with two predictors, and then to two-factor ANOVA, is handled expertly, building confidence and capability with each step.
By the end of this course, you won’t just understand statistical concepts; you’ll be equipped to apply them using SAS, making your data analysis more robust and insightful. Whether you’re a student, a researcher, or a data professional, this course offers a valuable and actionable learning experience.
Enroll Course: https://www.coursera.org/learn/statistical-analysis-hypothesis-testing-sas