Search result for Hierarchical data modeling Online Courses & Certifications
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Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. 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. Count data and hierarchical modeling Applications of hierarchical modeling...
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
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Approx. 15 hours to complete
We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. This course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques....
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. 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....
$149
High-Dimensional Data Analysis
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
If you’re interested in data analysis and interpretation, then this is the data science course for you. 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. Data Analysis for Life Sciences:...
$149
Introduction to Linear Models and Matrix Algebra
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
Learn to use R programming to apply linear models to analyze data in life sciences. 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. Data Analysis for Life Sciences: 3x: Statistical Inference and Modeling for High-throughput Experiments...
$149
Health Data 101
by Eddie Jay- 4.2
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1 hour on-demand video
An Introduction to Health Data for data analysts This is an introductory course for health data, from the perspective of data analysts. Health data connects complex health care systems. Where health data come from: 5 main sources including health insurance claims and EHR What health data look like: Structured and Unstructured data...
$9.99
Statistics and R
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. Data Analysis for Life Sciences: 3x: Statistical Inference and Modeling for High-throughput Experiments...
$249
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Mastering Unsupervised Learning with Python
by Packt Publishing- 3.6
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4 hours on-demand video
In this video course you will understand the assumptions, advantages, and disadvantages of various popular clustering algorithms, and then learn how to apply them to different data sets for analysis. He holds master’s degrees from Harvard University and Free University Berlin, a CFA charter, and has been teaching data science and statistics for several years....
$12.99
Principles of Modeling, Simulations, and Control for Electric Energy Systems
by Marija Ilic , Rupamathi Jaddivada , Pallavi Bharadwaj- 0.0
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12 Weeks
You will also learn about assumptions underlying today’s hierarchical control and the innovations needed to support end-to-end flexible efficient electricity services by conventional and new resources. what may not work when using today’s hierarchical control and how to evolve it into flexible end-to-end electricity service...
$149
Software Design Methods and Tools
by Albert Glock- 4.8
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Approx. 14 hours to complete
Data Flow Diagrams...
