In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.
This course is part of the Data Analysis and Interpretation Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Chi-Squared (Chi-2) Distribution
- Data Analysis
- Statistical Hypothesis Testing
- Analysis Of Variance (ANOVA)
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Hypothesis Testing and ANOVA
Chi Square Test of Independence
Pearson Correlation
Exploring Statistical Interactions
Reviews
- 5 stars68.94%
- 4 stars21.51%
- 3 stars5.62%
- 2 stars2.20%
- 1 star1.71%
TOP REVIEWS FROM DATA ANALYSIS TOOLS
I am just starting. But i like how peer review is made the core model of the entire specialization though :)
Being as beginner I found through this course I am able to setup my base. Thanks
Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.
It is a good course for a complete beginner in statistical inference. It helped me to understand some points I found confusing in "Statistical Inference" Coursera course.
About the Data Analysis and Interpretation Specialization

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