Search result for Statistical methods Online Courses & Certifications
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Regression Analysis for Statistics & Machine Learning in R
by Minerva Singh- 4.2
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7.5 hours on-demand video
Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R Learn how to deal with multicollinearity both through variable selection and regularization techniques such as ridge regressionCarry out variable and regression model selection using both statistical and machine learning techniques, including using cross-validation methods ....
$12.99
Population Health: Responsible Data Analysis
by Mar Rodriguez Girondo , Jelle Goeman , Saskia le Cessie- 4.6
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Approx. 21 hours to complete
Then, we will discuss that because data are usually obtained from a sample of a limited number of individuals, statistical methods are needed to make claims about the whole population of interest. Knows the pros and cons of statistical methods and can choose the appropriate data analysis approach in common health related problems....
Dealing With Missing Data
by Richard Valliant, Ph.D.- 3.8
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Approx. 18 hours to complete
This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®. Statistical Interpretation of Estimates...
Introduction to Statistics: Inference
by Philip B. Stark- 0.0
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4 Weeks
An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples. 3x is on statistical inference: how to make valid conclusions based on data from random samples. The methods that will be covered are among the most commonly used of all statistical techniques....
$25
Introduction to Time Series Analysis and Forecasting in R
by R-Tutorials Training- 4.5
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8.5 hours on-demand video
Time series analysis and forecasting is one of the key fields in statistical programming. After that you will learn about statistical methods used for time series. Where are those methods applied? In nearly any quantitatively working field you will see those methods applied....
$17.99
Data Science: Inferential Thinking through Simulations
by Ani Adhikari , John DeNero , David Wagner- 0.0
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5 Weeks
This is called statistical inference. In this course, you will learn the framework for statistical inference and apply them to real-world data sets. Throughout this course, we will go over multiple methods for estimation and hypothesis testing, based on simulations and the bootstrap method. The logical and conceptual frameworks of statistical inference The purpose and power of resampling methods...
$199
The Analytics Edge
by Dimitris Bertsimas , Allison O'Hair , John Silberholz , Iain Dunning- 0.0
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13 Weeks
There will also be a recitation, in which one of the teaching assistants will go over the methods introduced with a new example and data set. (R is a free statistical and computing software environment we'll use in the course. How to implement all of these methods in R...
$199
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Introduction to Probability: Part II – Inference & Processes
by John Tsitsiklis , Patrick Jaillet , Qing He , Jimmy Li- 0.0
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16 Weeks
Learn how to use probability theory to develop the basic elements of statistical inference and important random process models Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. an introduction to classical statistical methods Bayesian Inference: concepts and key methods Basic concepts of classical statistical inference...
$75
Data Analysis with Excel Analysis Package
by Danil Dintsis- 3.4
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1 hour on-demand video
Learn simple, fast and effective data analysis methods with the Excel Analysis Package In the course students learn or get a reminder about main statistical parameters for data and big data analysis....
$11.99
Machine Learning
by Qiang Liu- 0.0
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12 Weeks
This course focuses on core algorithmic and statistical concepts in machine learning. This class introduces the fundamental mathematical models, algorithms, and statistical tools needed to perform core tasks in machine learning. ○ Statistical methods for interpreting models generated by learning algorithms....
$1000
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