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Statistical Inference courses 77

Learn Statistical Inference online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Delft University of Technology

Statistics

This course provides an overview of bachelor-level statistics. You will review the concepts of descriptive and inferential statistics. You will use the statistical software package R on real data to gain insight in these topics.

  • edX
  • 6 weeks, 4 - 6 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

The London School of Economics and Political Science

Statistics 2 Part 2: Statistical Inference

The final part 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.

  • edX
  • 5 weeks, 11 - 14 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

MIT OpenCourseWare

Introduction to Probability

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 fields, from the basic sciences to engineering and management. This resource is a companion site to 6.04…

  • MIT
  • Self-paced
  • Free course
  • Advanced

University of Notre Dame

I "Heart" Stats: Learning to Love Statistics

Is your relationship with statistics dysfunctional? We can help: Get to know stats, build a healthy bond, and maybe even fall in love!

  • edX
  • Fixed dates
  • Free to audit
  • Paid certificate
  • Beginner

University of Michigan

Inferential Statistical Analysis with Python

4.6938 ratings

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…

  • Coursera
  • 4 weeks of study, 4-6 hours/week
  • Self-paced
  • Paid certificate

Alison

Diploma in AP Statistics

4.285 ratings

This course introduces learners to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Do you want to learn the skills needed to explore data and make statistical inferences? This course takes you through the technology used in investigating, problem-solving a…

Learning path or series
  • Alison
  • 15 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Advanced

MIT OpenCourseWare

Probabilistic Systems Analysis and Applied Probability

Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: The concept…

  • MIT
  • Self-paced
  • Free course
  • Advanced

University of California, Berkeley

Inferential Statistics

In this course, learners will gain the tools to test hypotheses, draw conclusions, and measure uncertainty in business settings using t-tests, chi-squared tests, ANOVA, and A/B experiments.

  • edX
  • 5 weeks, 4 - 8 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Alison

Anticipating Patterns and Statistical Inferences in Statistics

4.018 ratings

This free online course begins by exploring the concept of statistics and its relationship with probability. The course takes a look at how data accuracy is enhanced by the use of means and other statistical objects. You will study how statistical significance is stated with some level of confidenc…

  • Alison
  • 4 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Intermediate

Johns Hopkins University

Mathematical Biostatistics Boot Camp 2

4.3138 ratings

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

  • Coursera
  • 12 hours
  • Self-paced
  • Paid certificate

MIT OpenCourseWare

Analytics of Finance

This course covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (Itô) calculus. These techniques, along with their computer implementation, are covered in depth. Applica…

  • MIT
  • Self-paced
  • Free course
  • Advanced

University of Illinois Urbana-Champaign

Inferential and Predictive Statistics for Business

4.8880 ratings

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. To this end, the course aims to cover statistical ideas that apply to managers by d…

  • Coursera
  • 4 weeks of study, 2-4 hours/week
  • Self-paced
  • Paid certificate

University of Michigan

Fitting Statistical Models to Data with Python

4.4718 ratings

In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research ques…

  • Coursera
  • 4 weeks; 4-6 hours/week
  • Self-paced
  • Paid certificate

Johns Hopkins University

Statistics for Genomic Data Science

4.2383 ratings

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

  • Coursera
  • 9 hours
  • Self-paced
  • Paid certificate

Johns Hopkins University

Statistical Inference

4.24,456 ratings

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad…

  • Coursera
  • 55 hours
  • Self-paced
  • Paid certificate

MIT OpenCourseWare

Introduction to Neural Computation

This course introduces quantitative approaches to understanding brain and cognitive functions. Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. It also covers foundational quantitativ…

  • MIT
  • Self-paced
  • Free course
  • Advanced

University of Amsterdam

Inferential Statistics

4.4615 ratings

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothe…

  • Coursera
  • 7 weeks of study, 1-3 hours/week
  • Self-paced
  • Paid certificate

University of Canterbury

Basics of Statistical Inference and Modelling Using R

4.67 ratings

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation.

  • edX
  • 6 weeks, 5 - 10 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate