Statistical Inference Courses and Certifications

Introduction to Probability

Master probability theory fundamentals from MIT, covering random variables, Bayesian inference, statistical analysis, and Markov chains for data analysis applications.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

NPTEL;  IIT Kanpur

Essentials of Data Science With R Software - Probability and Statistical Inference

The main objective of statistics is to work on a small sample of data but provide conclusions for the whole population. Such results cannot be obtained without learning the concepts and tools of theory of probability and statistical inference.

• YouTube
• 1 day 10 hours
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Bayesian Inference

Explore Bayesian inference through practical examples like globe tossing. Learn updating, sampling, and computing distributions using grid approximation and posterior predictive methods.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Certified Minitab Expert: Hypothesis Testing (Accredited)

742 ratings at Udemy

Certified Minitab Expert (Accredited) | Hypothesis Testing with Minitab | Minitab Expert Certification | Earn 2.5 PDUs

• Udemy
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Bayesian Statistics

662 ratings at Udemy

Bayes Theorem, Bayesian networks, Bayesian sampling methods, Bayesian inference, machine learning and much more

• Udemy
• 4 hours 34 minutes
• Self-Paced
• Paid Course

Banach Center

Wnioskowanie Statystyczne dla Modeli Niezawodności Oprogramowania

Poznaj metody wnioskowania statystycznego w modelach niezawodności oprogramowania. Zgłęb techniki analizy i oceny niezawodności systemów informatycznych.

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

MySQL - Statistics for Data Science & Business Analytics

554 ratings at Udemy

SQL - MySQL for Data Analytics - Beginners - Statistics for Data Science - MySQL for Data Analysis - with 25 projects

• Udemy
• 14 hours 27 minutes
• Self-Paced
• Paid Course

Rounding and estimation

12 ratings at OpenLearn

Scientific calculators are a wonderful invention, but they're only as good as the people who use them. If you often get an unexpected or ridiculous result when you press the enter button, this ...

• OpenLearn
• 5 hours
• Self-Paced
• Free Certificate

The Simplest & Easiest Course on Hypothesis Testing

503 ratings at Udemy

Easiest Beginners Course on Statistics for Newbies! Perfect for university and college levels!

• Udemy
• 4 hours 13 minutes
• Self-Paced
• Paid Course

R Programming 101

Statistics with R Programming - A Practical Guide

Master essential statistical concepts and techniques using R programming, from descriptive statistics to advanced regression analysis and hypothesis testing.

• YouTube
• 3 hours 26 minutes
• Self-Paced
• Free Video

ExcelIsFun

Excel for Statistical Analysis in Business and Economics

Master statistical analysis using Excel with comprehensive coverage of descriptive statistics, probability distributions, hypothesis testing, and data visualization techniques.

• YouTube
• 23 hours 52 minutes
• Self-Paced
• Free Video

sentdex

Data Analysis with Python and Pandas

Master data manipulation, analysis, and visualization using Python's powerful Pandas library through hands-on projects covering dataframes, merging, statistical analysis, and machine learning integration.

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

Introduction to SPSS

462 ratings at Udemy

An Introduction to the SPSS software program and basic descriptive and inferential statistics

• Udemy
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Mathematical (Actuarial) Statistics:(Exam P/CT3/CS1)

400 ratings at Udemy

Master statistical concepts from probability theory to Bayesian analysis, covering key topics like hypothesis testing, regression, and sampling - ideal for actuarial exams and data analysis applications.

• Udemy
• 13 hours 46 minutes
• Self-Paced
• Paid Course

Statistics with R - Intermediate Level

392 ratings at Udemy

Learn advanced statistical analyses in R: correlations, t-tests, ANOVA, regression, and reliability indicators. Step-by-step guidance for parametric and non-parametric tests, with assumption checks and result interpretation.

• Udemy
• 2 hours 25 minutes
• Self-Paced
• Paid Course