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Learn Estimators online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
MIT OpenCourseWare
This course provides students with decision theory, estimation, confidence intervals, and hypothesis testing. It introduces large sample theory, asymptotic efficiency of estimates, exponential families, and sequential analysis.
Great Learning
Agile can sound abstract until learners see how teams use it during real delivery. This free agile methodology course starts with SDLC and Agile principles, then explains Waterfall versus Agile, Scrum, user stories, sprints, backlog management, daily stand-ups, retrospectives, and estimation. These…
Indian Institute of Management Bangalore
Learn how to construct, fit, estimate and compute Bayesian statistical models with the help of OpenBUGS (freely available software)
The Georgia Institute of Technology
This course provides an introduction to basic statistical concepts. We begin by walking through a library of probability distributions – including the normal distribution, which in turn leads to the Central Limit Theorem. We then discuss elementary descriptive statistics and estimation methods.
Johns Hopkins University
This course will introduce you to the linear regression model, which is a powerful tool that researchers can use to measure the relationship between multiple variables. We’ll begin by exploring the components of a bivariate regression model, which estimates the relationship between an independent a…
MIT OpenCourseWare
Upon successful completion of this course, students will be able to: Create lumped parameter models (expressed as ODEs) of simple dynamic systems in the electrical and mechanical energy domains Make quantitative estimates of model parameters from experimental measurements Obtain the time-domain res…
IIT Roorkee
Electrical Engineering course by Prof. Biswarup Das.
MIT OpenCourseWare
This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision…
Alison
It is estimated that there are more neurons in the human brain than stars in the Milky Way. Incredibly, they are all connected in complex neuronal webs, making our brains the most extensive and complex computational networks in the known universe, about which scientists know more than they do the b…
MIT OpenCourseWare
This course examines the fundamentals of detection and estimation for signal processing, communications, and control. Topics covered include: vector spaces of random variables; Bayesian and Neyman-Pearson hypothesis testing; Bayesian and nonrandom parameter estimation; minimum-variance unbiased est…
MIT OpenCourseWare
This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and nonparametric statistics.
MIT OpenCourseWare
This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace’s equation and potential flow; boundary-value problems; minimum principles and calculus of variatio…
University of Michigan
In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct c…
MIT OpenCourseWare
This course offers a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.…
Delft University of Technology
Learn how to estimate parameters from observational data for real-world engineering applications and assess the quality of the results.
Learn assembly language programming with ARMv7 in this beginner's course. 🦾 ARM is becoming an increasingly popular language in the world of computer programming. It is estimated that over 200 billion devices contain an ARM chip, making the ARM language valuable to understand. By understanding an a…
MIT OpenCourseWare
This class will study the behavior of photovoltaic solar energy systems, focusing on the behavior of “stand-alone” systems. The design of stand-alone photovoltaic systems will be covered. This will include estimation of costs and benefits, taking into account any available government subsidies. Int…
MIT OpenCourseWare
In the ICE-Topics courses, various chemical engineering problems are presented and analyzed in an industrial context. Emphasis is on the integration of fundamentals with material property estimation, process control, product development, and computer simulation. Integration of societal issues, such…
MIT OpenCourseWare
This course presents micro-econometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments (GMM), estimation of censored and truncated specifications, quantile regression, structural estimation, nonparametric and semiparametric estimation, trea…
MIT OpenCourseWare
This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitati…
