CIND 123 Data Analytics - Basic Methods
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The CIND 123 Data Analytics - Basic Methods course is an associate introduction to R, analyzing and exploring knowledge with R, and victimization R with info. It focuses on statistics for model building and analysis. Topics cowl experimental analysis, correlation analysis, regression, confidence intervals, and cluster comparisons, and constant and non-parametric models.
What will you learn?
The CIND 123 Data Analytics - Basic Methods course provides knowledge analytics technical skills for conducting quantitative analyses on knowledge and massive knowledge.
Learn how to:
- Utilize real datasets with graphs and numerical measures.
- Conduct a univariate and bivariate analysis on datasets in R.
- Flag potential outliers for additional investigation.
- Illustrate diagrammatically the chance distribution of variables.
- Differentiate between separate and continuous chance distributions.
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