Search result for Advanced Statistical Modeling with R Online Courses & Certifications
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The Complete R Programming for Data Science - 7 courses in 1
by Numyard Data Science Team- 4.5
18.5 hours on-demand video
Getting started with R-programming: First, you will learn to write your own R code and perform basic programming tasks. Advanced coding with Tidyverse: Then you will move to advanced coding in R based on the tidyverse using the dplyr package. Statistical Modeling with Linear Regression and Case Study: After mastering statistics, you will achieve professional-level R skills with linear regression....
$12.99
Machine Learning and Statistical Modeling with R Examples
by R-Tutorials Training- 4.2
2 hours on-demand video
Learn how to use machine learning algorithms and statistical modeling for clustering, decision trees, etc by using R Artificial intelligence would not be possible without those modeling tools. For a better learning success, each section has a theory part, a practice part where I will show you an example in R and at last every section is enforced with exercises....
$12.99
High-Dimensional Data Analysis
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. 1x: Statistics and R for the Life Sciences 3x: Statistical Inference and Modeling for High-throughput Experiments 7x: Advanced Bioconductor Dealing with Batch Effects...
$149
Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
Approx. 30 hours to complete
This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Statistical modeling and Monte Carlo estimation Modeling process...
Introduction to Bioconductor
by Rafael Irizarry , Michael Love , Vincent Carey- 0.0
4 Weeks
We begin with an introduction to the relevant biology, explaining what we measure and why. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. 3x: Statistical Inference and Modeling for High-throughput Experiments...
$149
Applied Multivariate Analysis with R
by Geoffrey Hubona, Ph.D.- 4.1
12 hours on-demand video
It is an excellent and practical background course for anyone engaged with educational or professional tasks and responsibilities in the fields of data mining or predictive analytics, statistical or quantitative modeling (including linear, GLM and/or non-linear modeling, covariance-based Structural Equation Modeling (SEM) specification and estimation, and/or variance-based PLS Path Model specification and estimation....
$11.99
Advanced Bioconductor
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. 3x: Statistical Inference and Modeling for High-throughput Experiments...
$149
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Mastering in Visualization with R programming
by Elementary Learners- 3.8
3.5 hours on-demand video
Graphs with R analytic tool R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. In this course first we'll focusing towards Basic understanding of R programming and then from very basic to advanced graphics features with use of several packages like ggplot2, plotrix, googleVis etc....
$12.99
Linear Mixed-Effects Models with R
by Geoffrey Hubona, Ph.D.- 4.1
10 hours on-demand video
The course does address the relevant statistical concepts, but mainly focuses on implementing mixed-effects models in R with ample R scripts, ‘real’ data sets, and live demonstrations. No prior experience with R is necessary to successfully complete the course as the first entire course section consists of a "hands-on" primer for executing statistical commands and scripts using R....
$11.99
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course....