Harvard University
Data Science: R Basics
4.4273 ratingsBuild a foundation in R and learn how to wrangle, analyze, and visualize data.
- edX
- 8 weeks, 2 - 3 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
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Probability courses 608
Learn Probability online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
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Harvard University
Data Science: Capstone
4.575 ratingsShow what you've learned from the Professional Certificate Program in Data Science.
- edX
- 2 weeks, 2 - 3 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
Harvard University
Data Science: Inference and Modeling
4.454 ratingsLearn inference and modeling, two of the most widely used statistical tools in data analysis.
- edX
- 8 weeks, 2 - 3 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
IISc Bangalore
Stochastic Approximation: Theory and Applications
Computer Science and Engineering course by Prof. Gugan Chandrashekhar Mallika Thoppe.
- NPTEL
- 12 weeks, 46 lectures
- Self-paced
- Free course
- Paid certificate
- Advanced
Harvard University
Data Analysis: Basic Probability and Statistics
4.693 ratingsIncrease your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging "Fat Chance" approach that's made this course a favorite among learners worldwide.
- edX
- 7 weeks, 3 - 6 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
Johns Hopkins University
Exploratory Data Analysis
4.76,092 ratingsThis course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening poten…
- Coursera
- 56 hours
- Self-paced
- Paid · free trial
- Paid certificate
Stanford Online
Introduction to Statistics
4.64,302 ratingsStanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate test…
- Coursera
- This course will take approx. 6-8 hours to complete, depending on prior knowled…
- Self-paced
- Paid · free trial
- Paid certificate
Stanford Online
Probabilistic Graphical Models 1: Representation
4.61,445 ratingsProbabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer s…
- Coursera
- 67 hours
- Self-paced
- Paid · free trial
- Paid certificate
Harvard University
Introduction to Probability
4.443 ratingsLearn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
This is a collection of 76 videos for MIT 6.041- 25 lectures videos (2010) and 51 recitation videos (2013). In the recitation videos MIT Teaching Assistants solve selected recitation and tutorial problems from the course. View the complete course: http://ocw.mit.edu/6-041SCF13 Instructors: Qing He,…
Video playlist
- YouTube
- 76 videos, 32 hours
- Self-paced
- Free video
6.041 Probabilistic Systems Analysis and Applied Probability
Videos from 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010
Video playlist
- YouTube
- 25 videos, 21 hours
- Self-paced
- Free video
Google
The Power of Statistics
4.8915 ratingsThis is the third course in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidenc…
- Coursera
- 31 hours
- Self-paced
- Paid · free trial
- Paid certificate
University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
4.7579 ratingsWe have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to im…
- Coursera
- 5 weeks of study, 3-5 hours per week
- Self-paced
- Paid · free trial
- Paid certificate
Harvard University
Data Science: Probability
4.369 ratingsLearn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.
- edX
- 8 weeks, 2 - 3 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis, Patrick Jaillet The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many…
Video playlist
- YouTube
- 266 videos, 30 hours
- Self-paced
- Free video
Imperial College London
Probabilistic Deep Learning with TensorFlow 2
4.7109 ratingsWelcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area…
- Coursera
- 53 hours
- Self-paced
- Paid · free trial
- Paid certificate
University of Washington
Machine Learning: Regression
4.85,585 ratingsCase Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Ot…
- Coursera
- 6 weeks of study, 5-8 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
IIT Madras
An Introduction to Probability in Computing
Computer Science and Engineering course by Prof. John Augustine.
- NPTEL
- 24 lectures
- Self-paced
- Free course
- Paid certificate
Duke University
Inferential Statistics
4.82,792 ratingsThis course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data exa…
- Coursera
- 5 weeks of study, 5-7 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
Duke University
Linear Regression and Modeling
4.81,793 ratingsThis course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores?…
- Coursera
- 4 weeks of study, 5-7 hours/week
- Self-paced
- Paid · free trial
- Paid certificate