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Learn Statistical Methods online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathe…
Johns Hopkins University
A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These in…
Harvard University
Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.
MIT OpenCourseWare
Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific wor…
IBM
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data usin…
Harvard University
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
Harvard University
The structure, annotation, normalization, and interpretation of genome scale assays.
Johns Hopkins University
The course "Advanced Probability and Statistical Methods" provides a deep dive into advanced probability and statistical methods, essential for mastering data analysis in computer science. Covering joint distributions, expectation, statistical testing, and Markov chains, you'll explore key concepts…
Great Learning
The Statistical Methods for Decision Making course aims to give you the knowledge to understand sampling, normal distributions, hypothesis testing, and its different types, type 1 and type 2 errors, chi-square testing, and ANOVA. The course will fix the concepts in your mind through demonstrated ex…
Great Learning
R programming has gained massive popularity among data analysts, an extensive statistical and graphical programming language. R programming is free. It can run on several macOS, Unix, and Windows platforms. With the help of R programming, we can create new statistical methods quickly and in a strai…
SAS
Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods…
Great Learning
The Statistical Analysis course is designed to help you understand how to employ statistical methods to hoard data, employ analytical techniques, and effective ways to present results. The course begins with explaining the descriptive statistical analysis and then continues with different concepts…
The London School of Economics and Political Science
The first in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
Vanderbilt University
This course teaches students how to generate univariate graphics, such as histograms and box plots, using generative AI tools to automate and streamline the analysis process. Students will explore conditional means through statistical methods like ANOVA and t-tests, while also using AI to create an…
MIT OpenCourseWare
This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathematics in the research and development of efficient statistical methods.
Great Learning
Support vector machines or support vector networks are models based on supervised learning models that are primarily used for classification and regression analysis. Support vector machine or SVM is a robust and highly efficient prediction method with a firm foundation in statistical methods It was…
University of Amsterdam
Critically Analyze Research and Results Using R
The Georgia Institute of Technology
Learn the foundations of generative AI — how it works, why it matters, and how to move beyond basic use into practical integration through our artificial intelligence online course. This course provides an accessible but comprehensive introduction to the world of generative artificial intelligence.…
The London School of Economics and Political Science
The second in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
University of Leeds
Build your statistics and probability expertise with this short course from the University of Leeds. The first week introduces you to statistics as the art and science of learning from data. Through multiple real-life examples, you will explore the differences between data and information, discover…
