Statistical Inference Courses and Certifications

Statistical Inference

34 ratings

Learn the fundamentals of drawing conclusions from data: probability and expected values, variability and asymptotics, confidence intervals, hypothesis testing and p-values, power, bootstrapping, and permutation tests.

• Coursera
• 4 weeks, 14 hours a week
• Self-Paced
• Paid Course

Statistical Inference in R

Familiarize yourself with the core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rundel.

• DataCamp
• Self-Paced
• Free Trial Available

Statistical Inference and Modeling for High-throughput Experiments

9 ratings at edX

A focus on the techniques commonly used to perform statistical inference on high throughput data.

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Data Science Foundations: Statistical Inference

371 ratings at Coursera

Build a foundation in probability theory, then carry out statistical estimation and hypothesis testing on data sets using the R programming language.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Fundamentals of Statistics

10 ratings

Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Part of the MITx MicroMasters program in Statistics and Data Scien

• edX
• 17 weeks, 10-14 hours a week
• Self-Paced
• Free Online Course (Audit)

Introductory Statistics : Basic Ideas and Instruments for Statistical Inference

1 rating

This course utilizes real-life applications of Statistics in an exploration of the Statistical Inferenceprocess.

• edX
• 4 weeks, 1-2 hours a week
• Self-Paced
• Free Certificate

Basics of Statistical Inference and Modelling Using R

7 ratings at edX

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 a week
• Self-Paced
• Free Online Course (Audit)

Introductory Statistics : Sample Survey and Instruments for Statistical Inference

The purpose of this course is to introduce basic concepts of sample surveys and to teach statistical inference process using real-life examples.

• edX
• 6 weeks, 1-2 hours a week
• Self-Paced
• Free Certificate

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 furth

• edX
• 5 weeks, 12-15 hours a week
• Self-Paced
• Free Online Course (Audit)

Understanding Clinical Research: Behind the Statistics

897 ratings

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

• Best of All Time

Intro to Inferential Statistics

8 ratings

Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!

• Udacity
• 17 hours
• Self-Paced
• Free Online Course

Six Sigma Part 2: Analyze, Improve, Control

985 ratings

Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to underst

• edX
• 8 weeks, 3-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Statistical Thinking in Python (Part 2)

261 ratings at DataCamp

After completing Statistical Thinking in Python (Part 1), you have the probabilistic mindset and foundational hacker stats skills to dive into data sets and extract useful information from them.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Foundations of Inference in Python

229 ratings at DataCamp

Truly Understand Hypothesis Tests What happens after you compute your averages and make your graphs?

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available