Modify, remix, and reuse (just remember to cite OCW as the source. We don't offer credit or certification for using OCW. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum.. No enrollment or registration. Made for sharing. » ), Learn more at Get Started with MIT OpenCourseWare, MIT OpenCourseWare makes the materials used in the teaching of almost all of MIT's subjects available on the Web, free of charge. Welcome! Courses The Center’s academic mission is to host and develop new academic programs, from a minor to a PhD in statistics and data science. There's no signup, and no start or end dates. The video for Lecture 1 was recorded in Fall 2017. Probability and Statistics Probability and Statistics. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. » Don't show me this again. Lecture 6: Probability Part 2. Welcome! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. Lecture 4: Thermodynamics Part 4. Statistics Lecture 7.4: Confidence Interval for the Sample Mean, Population … Made for sharing. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum. But this is an automated system. Lecture 1: Thermodynamics Part 1. Lecture 2: Introduction to Statistics (cont.) For more details on … There will be some video lectures. Your use of the MIT OpenCourseWare site and materials is subject to our Creative Commons License and other terms of use. This page lists OCW courses and supplemental resources that contain video and/or audio lectures. Freely browse and use OCW materials at your own pace. ), Lecture 20: Principal Component Analysis (cont. This is one of over 2,200 courses on OCW. ), Learn more at Get Started with MIT OpenCourseWare, MIT OpenCourseWare makes the materials used in the teaching of almost all of MIT's subjects available on the Web, free of charge. ), Lecture 6: Maximum Likelihood Estimation (cont.) Probabilistic Systems Analysis and Applied Probability ), Lecture 22: Generalized Linear Models (cont. Mathematics Send to friends and colleagues. » With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge. Subscribe to this collection. Learn more », © 2001–2018
This is one of over 2,200 courses on OCW. Again, the first one will be posted on OCW from last year. But all of them will be available on Stellar--of course, module technical problems. Use OCW to guide your own life-long learning, or to teach others. Lecture 2: Introduction to Statistics (cont. Find materials for this course in the pages linked along the left. and the Method of Moments, Lecture 8: Parametric Hypothesis Testing (cont. The videos for Lectures 10 and 16 are not available. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression. Displaying all 16 video lectures. Video Lectures Course Home Syllabus ... Lecture 22: Bayesian Statistical Inference II. Lecture 25: Classical Inference III; Course Overview. Don't show me this again. We don't offer credit or certification for using OCW. Home Download files for later. Subscribe to this collection. ), Lecture 11: Parametric Hypothesis Testing (cont.) Your use of the MIT OpenCourseWare site and materials is subject to our Creative Commons License and other terms of use. Lecture Videos. However, the high cost of video production means we can only provide video for select courses. Video Lectures. Video Lectures, Lecture 5: Discrete Random Variables; Probability Mass Functions; Expectations, Lecture 6: Discrete Random Variable Examples; Joint PMFs, Lecture 7: Multiple Discrete Random Variables: Expectations, Conditioning, Independence, Lecture 9: Multiple Continuous Random Variables, Lecture 10: Continuous Bayes' Rule; Derived Distributions, Lecture 11: Derived Distributions; Convolution; Covariance and Correlation, Lecture 12: Iterated Expectations; Sum of a Random Number of Random Variables, Lecture 21: Bayesian Statistical Inference I, Lecture 22: Bayesian Statistical Inference II, Lecture 23: Classical Statistical Inference I, Lecture 25: Classical Inference III; Course Overview. No enrollment or registration. The Statistics and Data Science Center is an MIT-wide focal point for advancing research and education programs related to statistics and data science. We know that video is important to many learners. Modify, remix, and reuse (just remember to cite OCW as the source. Lecture 3: Thermodynamics Part 3 . ), Lecture 24: Generalized Linear Models (cont.). NPTEL Video Lectures, IIT Video Lectures Online, NPTEL Youtube Lectures, Free Video Lectures, NPTEL Online Courses, Youtube IIT Videos NPTEL Courses. There's no signup, and no start or end dates. Find materials for this course in the pages linked along the left. This course provides an elementary introduction to probability and statistics with applications. Knowledge is your reward. Freely browse and use OCW materials at your own pace. » Massachusetts Institute of Technology. » Don't show me this again . Electrical Engineering and Computer Science, Probabilistic Systems Analysis and Applied Probability. The titles reflect content of the lecture notes, which may not completely reflect the sequence of the video lectures. » » Courses The videos for Lectures 10 and 16 are not available. Lecture 3: Parametric Inference. Download files for later. ), Lecture 4: Parametric Inference (cont.) » Lecture 4: Parametric Inference (cont.) Lecture 2: Thermodynamics Part 2. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum. Lecture 1: Introduction to Statistics. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight and inspiration. This is one of over 2,200 courses on OCW. Send to friends and colleagues. NPTEL Online Videos, Courses - IIT Video Lectures Well Organized! Massachusetts Institute of Technology. and Testing Goodness of Fit, Lecture 12: Testing Goodness of Fit (cont. Home Lecture 5: Probability Part 1. In recent years, OCW has substantially increased its video content. With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge. Probability and Statistics by Dr.Somesh Kumar,Department of Mathematics,IIT Kharagpur. Need help getting started? Find materials for this course in the pages linked along the left. and Maximum Likelihood Estimation, Lecture 5: Maximum Likelihood Estimation (cont. The Center was created in 2015 with the goal of formalizing and consolidating efforts in statistics at MIT. ), Lecture 9: Parametric Hypothesis Testing (cont. Knowledge is your reward. Introduction to Probability and Statistics . The video for Lecture 1 was recorded in Fall 2017. Lecture 1: Probability and Counting | Statistics 110 - YouTube Electrical Engineering and Computer Science Learn more », © 2001–2018
Lecture 23: Classical Statistical Inference I. Lecture 24: Classical Inference II. ), Lecture 23: Generalized Linear Models (cont. This is one of over 2,200 courses on OCW. Statistics for Applications The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. No enrollment or registration. And hopefully, it will work out well for us. Use OCW to guide your own life-long learning, or to teach others.

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