Search result for Data analysis and statistical inference Online Courses & Certifications
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Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
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Approx. 9 hours to complete
We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results....
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
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. 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....
Statistics and R
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. 3x: Statistical Inference and Modeling for High-throughput Experiments...
$249
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Use case and data set Prepare data, detect statistical data biases, and perform feature engineering at scale to train models with pre-built algorithms....
Introduction to Linear Models and Matrix Algebra
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional 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
Developing Data Products
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.6
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Approx. 10 hours to complete
A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. Swirl and Course Project...
Comprehensive Linear Modeling with R
by Geoffrey Hubona, Ph.D.- 3.9
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14.5 hours on-demand video
These include basic, conditional and simultaneous inference techniques; analysis of variance (ANOVA); linear regression; survival analysis; generalized linear models (GLMs); parametric and non-parametric smoothers and generalized additive models (GAMs); longitudinal and mixed-effects, split-plot and other nested model designs. The course concludes with a section on the special considerations and techniques for establishing simultaneous inference in the linear modeling domain....
$12.99
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Mathematical Biostatistics Boot Camp 2
by Brian Caffo, PhD- 4.4
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Approx. 12 hours to complete
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Two Sample Tests - Matched Data I Two Sample Tests - Matched Data II Discrete Data Settings Exact inference for The Odds Ratio Dependence and Marginal Homogeneity Odds and Ends for Matched 2x2 Tables...
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA). List several best practices concerning EDA and data visualization This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Data Analysis...
Basics of Statistical Inference and Modelling Using R
by Elena Moltchanova- 0.0
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6 Weeks
Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate. This course is directed at people with limited statistical background and no practical experience, who have to do data analysis, as well as those who are “out of practice”. Exploratory data analysis and data visualisation using R....
$249
