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
About this Course
Skills you will gain
- Chi-Squared (Chi-2) Distribution
- Data Analysis
- Statistical Hypothesis Testing
- Analysis Of Variance (ANOVA)
Syllabus - What you will learn from this course
Hypothesis Testing and ANOVA
Chi Square Test of Independence
Exploring Statistical Interactions
- 5 stars68.94%
- 4 stars21.51%
- 3 stars5.62%
- 2 stars2.20%
- 1 star1.71%
TOP REVIEWS FROM DATA ANALYSIS TOOLS
It's one of the best course for understanding all the statistical tools , used for data sciences. Thanks to entire team for making such a wonderful course content
I am just starting. But i like how peer review is made the core model of the entire specialization though :)
Great information presented very clearly with many learning aids provided.
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.
About the Data Analysis and Interpretation Specialization
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