Search result for Statistical inference Online Courses & Certifications
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Data Science: Inference and Modeling
by Rafael Irizarry- 0.0
8 Weeks
Learn inference and modeling, two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists....
$99
Business Statistics with R
by Diego Fernandez- 3.7
4 hours on-demand video
Approximate population mean two tails, right tail and population proportion left tail statistical inference tests probability values. Estimate paired populations means assuming equal population variances two tail statistical inference test probability value. Assess population mean two tails statistical inference test power for several levels of statistical significance or confidence alternatives. After that, you’ll define parameters estimation statistical inference....
$9.99
Business Statistics with Excel
by Diego Fernandez- 3.5
4.5 hours on-demand video
Approximate population mean two tails, right tail and population proportion left tail statistical inference tests probability values. Estimate paired populations means two tails statistical inference test probability value. Assess population mean two tails statistical inference test power for several levels of statistical significance or confidence alternatives. Estimate paired populations means two tails statistical inference test probability value....
$12.99
Basics of Statistical Inference and Modelling Using R
by Elena Moltchanova- 0.0
6 Weeks
Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation. Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate....
$249
Developing Data Products
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.6
Approx. 10 hours to complete
A data product is the production output from a statistical analysis. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience....
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
Approx. 14 hours to complete
You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. Exploratory Data Analysis and Introduction to Inference Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project Bayesian Inference Examples of Bayesian Inference...
Data Modeling and Regression Analysis in Business
by Sridhar Seshadri- 4.4
Approx. 25 hours to complete
The first set of tools will explore data description, statistical inference, and regression. 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...
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A Crash Course in Causality: Inferring Causal Effects from Observational Data
by Jason A. Roy, Ph.D.- 4.7
Approx. 18 hours to complete
Learners will have the opportunity to apply these methods to example data in R (free statistical software environment). Implement several types of causal inference methods (e. Identify which causal assumptions are necessary for each type of statistical method and discover for yourself why modern statistical methods for estimating causal effects are indispensable in so many fields of study!...
Data Science: Probability
by Rafael Irizarry- 0.0
8 Weeks
These statistical concepts are fundamental to conducting statistical tests on data and understanding whether the data you are analyzing is likely occurring due to an experimental method or to chance. Probability theory is the mathematical foundation of statistical inference which is indispensable for analyzing data affected by chance, and thus essential for data scientists....
$99
Inferential Statistics
by Mine Çetinkaya-Rundel- 4.8
Approx. 17 hours to complete
This course covers commonly used statistical inference methods for numerical and categorical data. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. Inference and Significance Another Introduction to Inference Inference for Other Estimators Statistical vs....