Search result for Prediction and 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
This one-week course describes the process of analyzing data and how to manage that process. 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. Identify different types of questions and translate them to specific datasets...
Computational Probability and Inference
by George H. Chen , Polina Golland , Gregory W. Wornell , Lizhong Zheng- 0.0
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12 Weeks
Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Probability and inference are used everywhere. You don’t need to have prior experience in either probability or inference, but you should be comfortable with basic Python programming and calculus. Algorithms for prediction and inference...
$49
Introduction to Probability
by Joseph Blitzstein- 0.0
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10 Weeks
Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you tools needed to understand data, science, philosophy, engineering, economics, and finance. How to think about uncertainty and randomness...
$139
Data Modeling and Regression Analysis in Business
by Sridhar Seshadri- 4.4
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Approx. 25 hours to complete
The course will begin with what is familiar to many business managers and those who have taken the first two courses in this specialization. Module 0: Get Ready & Module 1: Introduction to Analytics and Evolution of Statistical Inference Lecture 1-1: Introduction to Analytics and Evolution of Statistical Inference Lecture 1-8: Plotting Data and Creating Graphs in Rattle...
Bayesian Statistics
by Mine Çetinkaya-Rundel , David Banks , Colin Rundel , Merlise A Clyde- 3.8
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Approx. 35 hours to complete
You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction....
Linear Regression and Modeling
by Mine Çetinkaya-Rundel- 4.7
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Approx. 10 hours to complete
This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Prediction and Extrapolation Week 1 Suggested Readings and Practice...
Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Prediction and Machine Learning Quiz Course Project Prediction Quiz...
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Data Science for Smart Cities
by Satish Ukkusuri , Eunhan Ka- 0.0
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16 Weeks
Learn various scientific techniques that will allow the analysis, inference and prediction of large-scale data (e. This course will introduce scientific techniques that will allow the analysis, inference and prediction of large-scale data (e. The course will focus both on the methods and their application to smart-city problems. Code, apply and solve the data mining algorithms using Python....
$2250
Machine Learning for Healthcare
by David Sontag , Peter Szolovits , Zachary Strasser , Hagai Rossman- 0.0
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15 Weeks
For each of these topics we dive into methodological details typically not covered in introductory machine learning courses, such as the foundations of deep learning on imaging and natural language, interpretability of ML models, algorithmic fairness, causal inference and off-policy reinforcement learning. Implement and analyze models for supervised prediction, clinical NLP, interpretability analysis, and causal inference from clinical data...
$49
Regression Models
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.4
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Approx. 54 hours to complete
This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. Notation and Background Linear Regression for Prediction Inference in Regression Prediction Use regression analysis, least squares and inference...
