Description
Statistics with R – Advanced Level, the advanced level statistics training course with R program, is published by Udemy Academy. If you want to learn how to perform real advanced statistical analysis in R, you have chosen the right course. Now you don’t have to scour the web endlessly to find out how to do an analysis of covariance or a combined analysis of variance, how to run a binomial logistic regression, how to do a multivariate scaling or a factor analysis. Everything is here, explained step by step in this course. First of all, we are going to study more techniques for evaluating mean differences. If you course medium You took – which I highly recommend – you learned about t-tests and between-subjects analysis of variance. Now we go to the next level and look at analysis of covariance, within-subject analysis of variance, and composite analysis of variance.
Then, in the section related to forecasting techniques, we enter approximate logistic regression, which is used when the dependent variable is not continuous or, in other words, categorical. We study three types of logistic regression: binomial, ordinary, and multinomial. Then we deal with grouping techniques. Here you will learn in detail how to perform multidimensional scaling, principal and factor component analysis, and analysis Correspondence analysis You will learn simple and multiple, cluster analysis (simple and hierarchical analysis), simple and multiple differential analysis. So after completing this course, you will be a true expert in statistical analysis with R, knowing many sophisticated and advanced analysis techniques that will allow you to deeply explore your data and the most Get information from it.
What you will learn
- Perform analysis of covariance
- Implementation of one-way analysis of variance
- Implementation of two-way analysis of variance
- Implementation of mixed analysis of variance
- Performing the non-parametric Friedman test
- Implementation of binomial logistic regression
- Implementation of multinomial logistic regression
- Perform ordinary logistic regression
- Perform multidimensional scaling
- Conduct principal component analysis and factor analysis
- Implementation of simple and multiple correspondence analysis
- Implementation of cluster analysis (K-means and hierarchical)
- Implementation of simple and multiple diagnostic analysis
Who is this course suitable for?
- students
- Doctoral candidates
- Academic researchers
- Business researchers
- University professors
- Anyone looking for a job in the field of statistical analysis
- Anyone interested in quantitative analysis
Course specifications Statistics with R – Advanced Level
- Publisher: Udemy
- teacher : Bogdan Anastasia
- English language
- Training level: advanced
- Number of courses: 37
- Training duration: 4 hours and 15 minutes
Chapters of Statistics with R – Advanced Level course
Course prerequisites
- R and R studio
- knowledge of advanced statistics
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.37 GB
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