Statistical Inference Courses and Certifications

INI Seminar Room 2

Nonparametric Smoothing of Directional and Axial Data

Explore nonparametric smoothing techniques for directional and axial data with Professor Lutz Duembgen from Universität Bern in this mathematical sciences seminar.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Paul G. Allen School

An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions?

Explore Tamara Broderick's seminar on data robustness, examining how removing small portions of data can significantly impact research conclusions and policy decisions through an automatic finite-sample robustness check.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Elements of Inference

Explore fundamental principles of statistical inference and probabilistic reasoning with expert insights from MIT's renowned machine learning researcher.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Theoretical Foundations and Algorithmic Tools for High-Dimensional Inference - Effective Models and Methods

Explore theoretical foundations and algorithmic tools for high-dimensional statistical inference and effective modeling techniques in complex systems.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Introduction to Statistics

4293 ratings at Coursera

You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

• Coursera
• 14 hours 6 minutes
• Self-Paced
• Paid Course

Intro to Descriptive Statistics

12 ratings

Learn essential concepts of descriptive statistics, including data visualization, central tendency, variability, standardization, and sampling distributions, to analyze and interpret data effectively.

• Udacity
• 8 weeks
• Self-Paced
• Free Online Course

NPTEL;  IIT Kharagpur

Business Analytics for Management Decision

14 ratings

This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real life cases to know the relevance of a particular problem and the decision-making thereof.

• YouTube
• 1 day 15 hours
• Self-Paced
• Free Video

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

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

Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

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

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

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

Manipulating Time Series Data in Python

In this course you'll learn the basics of working with time series data.

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

Hypothesis Testing in Python

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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

Sampling in Python

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

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

Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

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

Foundations of Inference in R

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

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