55+ Best Free Statistics Courses in 2021
Statistics, Number Crunching, and Data Sciences are the skill to possess especially with the advent of Deep Learning and Neural Networks. Working with massive data sets of numbers and deriving meaningful inferences could be daunting for beginners. But you can have fun with numbers if you refer the popular courses from the best trainers.
Following is a curated list of Best 55 Free Statistics Courses that will drastically improve your educational and career prospects.
| Sr. No | Course Name | Ratings | Price | Course Content | Link |
|---|---|---|---|---|---|
| 1 | Math for Middle Schoolers: Statistics | 4.2/5 | Free | Understand the different statistics topics generally taught in middle school | Learn More |
| 2 | Why Numbers Matter – Online Course | 4.9/5 | Free | Learn how to use quantitative research to make difficult decisions and solve real-world problems. | Learn More |
| 3 | Time Series Analysis | 4.6/5 | Free | Time series models with real data examples using the R statistical software. | Learn More |
| 4 | Capstone Exam in Statistics and Data Science | 4.6/5 | Free | Probability, data analysis, statistics, and machine learning in this culminating assessment. | Learn More |
| 5 | Data Science: Probability | 3.9/5 | Free | Gain important foundational knowledge in probability theory, essential for a data scientist. | Learn More |
| 6 | Fat Chance: Probability from the Ground Up | 4.6/5 | Free | Deeper understanding of probability and statistics. | Learn More |
| 7 | I “Heart” Stats: Learning to Love Statistics | 4.6/5 | Free | Get to know stats, build a healthy bond, and maybe even fall in love! | Learn More |
| 8 | Fundamentals of Statistics | 4.2/5 | Free | Understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. | Learn More |
| 9 | Data Science: Linear Regression | 4.8/5 | Free | Learn how to use R to implement linear regression in data science. | Learn More |
| 10 | Introduction to Probability – The Science of Uncertainty | 4.1/5 | Free | Probabilistic models, including random processes and the basic elements of statistical inference. | Learn More |
| 11 | Introduction to Probability: Part 1 – The Fundamentals | 4/5 | Free | Part 1: Probabilistic models, including random processes and the basic elements of statistical inference. | Learn More |
| 12 | Introduction to Statistics: Descriptive Statistics | 4.8/5 | Free | Descriptive statistics, emphasizing critical thinking and clear communication. | Learn More |
| 13 | Introduction to Statistics: Inference | 4.9/5 | Free | Statistical ideas and methods commonly used to make valid conclusions based on data from random samples. | Learn More |
| 14 | Data Science: Inference and Modeling | 4.5/5 | Free | Learn inference and modeling: statistical tools in data analysis. | Learn More |
| 15 | Computational Probability and Inference | 5/5 | Free | Learn fundamentals of probabilistic analysis and inference. | Learn More |
| 16 | Statistical Modeling and Regression Analysis | 4.2/5 | Free | linear regression models along with real data examples using the R. | Learn More |
| 17 | Principles, Statistical and Computational Tools for Reproducible Science | 4.6/5 | Free | Learn skills and tools that support data science and reproducible research. | Learn More |
| 18 | Probability: Distribution Models & Continuous Random Variables | 4.7/5 | Free | Including normal distribution, and continuous random variables to prepare for a career in information and data science. | Learn More |
| 19 | Introduction to Probability | 4.5/5 | Free | Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. | Learn More |
| 20 | Introductory Statistics : Basic Ideas and Instruments for Statistical Inference | 4.1/5 | Free | This course utilizes real-life applications of Statistics in an exploration of the Statistical Inference process. | Learn More |
| 21 | Probability – The Science of Uncertainty and Data | 4.1/5 | Free | Data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference. | Learn More |
| 22 | Statistical Inference and Modeling for High-throughput Experiments | 4.6/5 | Free | A focus on the techniques commonly used to perform statistical inference on high throughput data. | Learn More |
| 23 | Introduction to Probability: Part II ? Inference & Processes | 4.4/5 | Free | Learn how to use probability theory to develop the basic elements of statistical inference and important random process models | Learn More |
| 24 | Introductory Statistics : Analyzing Data Using Graphs and Statistics | 4.3/5 | Free | This course teaches basic statistical concepts and explores many compelling applications of statistical methods using real-life applications of Statistics. | Learn More |
| 25 | Statistics for Business – II | 4.9/5 | Free | Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution. | Learn More |
| 26 | Policy Analysis Using Interrupted Time Series | 4.7/5 | Free | A comprehensive course on conducting and presenting policy evaluations using interrupted time series analysis. | Learn More |
| 27 | Probability: Basic Concepts & Discrete Random Variables | 4.7/5 | Free | Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. | Learn More |
| 28 | Bayesian Statistics | 3.9/5 | Free | In which one’s inferences about parameters or hypotheses are updated as evidence accumulates. | Learn More |
| 29 | Introduction to Enumerative Combinatorics | 4.7/5 | Free | Enumerative combinatorics deals with finite sets and their cardinalities. | Learn More |
| 30 | Introduction to Probability and Data with R | 4.7/5 | Free | This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes’ rule. | Learn More |
| 31 | A Crash Course in Causality: Inferring Causal Effects from Observational Data | 4.8/5 | Free | We have all heard the phrase “correlation does not equal causation”. | Learn More |
| 32 | An Intuitive Introduction to Probability | 4.7/5 | Free | This course will provide you with an intuitive and practical introduction into Probability Theory. | Learn More |
| 33 | Mathematics for Machine Learning: PCA | 4/5 | Free | Mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. | Learn More |
| 34 | Linear Regression and Modeling | 4.7/5 | Free | This course introduces simple and multiple linear regression models. | Learn More |
| 35 | Business Applications of Hypothesis Testing and Confidence Interval Estimation | 4.8/5 | Free | Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. | Learn More |
| 36 | Statistics with R Capstone | 4.7/5 | Free | The capstone project will be an analysis using R that answers a specific scientific/business question | Learn More |
| 37 | Basic Statistics | 4.7/5 | Free | In this course you will learn the basics of statistics; not just how to calculate them. | Learn More |
| 38 | Probability and Statistics: To p or not to p? | 4.8/5 | Free | Probability and Statistics: To p or not to p? from University of London. We live in an uncertain and complex world. | Learn More |
| 39 | Methods and Statistics in Social Science – Final Research Project | 3.9/5 | Free | The Final Research Project consists of a research study that you will perform in collaboration with fellow learners. | Learn More |
| 40 | Mathematical Biostatistics Boot Camp 1 | 4.5/5 | Free | Probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior. | Learn More |
| 41 | Stochastic processes | 4.4/5 | Free | Equip students with theoretical knowledge and practical skills, which are necessary for the analysis of stochastic dynamical. | Learn More |
| 42 | Bayesian Statistics: Techniques and Models | 4.8/5 | Free | This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. | Learn More |
| 43 | Math behind Moneyball | 4.5/5 | Free | probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy. | Learn More |
| 44 | Improving your statistical inferences | 4.9/5 | Free | Draw better statistical inferences from empirical research. interpret p-values, effect sizes | Learn More |
| 45 | Inferential Statistics | 4.8/5 | Free | Statistical inference methods for numerical and categorical data. | Learn More |
| 46 | Network Dynamics of Social Behavior | 4.5/5 | Free | Network Dynamics of Social Behavior from University of Pennsylvania. | Learn More |
| 47 | Introduction to Statistics | 4.5/5 | Free | This course is designed to explain the fundamental of statistics. The course contains four weeks or four modules. | Learn More |
| 48 | Statistical Learning (Self-Paced) | 4.5/5 | Free | This is an introductory-level course in supervised learning, with a focus on regression and classification methods. | Learn More |
| 49 | Fundamentals of Engineering Statistical Analysis | 4.9/5 | Free | This course provides fundamental concepts in probability and statistical inference, with application to engineering contexts. | Learn More |
| 50 | Elementary Business Statistics | 4/5 | Free | It is designed as an introductory course to statistics theory and methodology. | Learn More |
| 51 | Statistics | 4.5/5 | Free | We live in a time of unprecedented access to information…data. | Learn More |
| 52 | Intro to Statistics | 4.3/5 | Free | Techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics. | Learn More |
| 53 | Intro to Inferential Statistics | 4.9/5 | Free | Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. | Learn More |
| 54 | Intro to Descriptive Statistics | 3.9/5 | Free | Descriptive statistics will teach you the basic concepts used to describe data. | Learn More |
| 55 | Foundations of Data Science: Prediction and Machine Learning | 4.5/5 | Free | Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data | Learn More |
