Statistical Inference Courses and Certifications

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time:Sequential Hypothesis Testing

Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.

• Coursera
• 1 day 12 minutes
• Self-Paced
• Paid Course

Inferential Statistics

612 ratings at Coursera

Explore inferential statistics, from hypothesis testing to advanced techniques like regression and ANOVA. Learn to analyze data, make inferences, and interpret results using various statistical tests.

• Coursera
• 14 hours 41 minutes
• Self-Paced
• Paid Course

Statistics for International Business

317 ratings at Coursera

Introduces core statistical concepts for business, covering data presentation, probability, and estimation. Develops essential skills for international business and MBA studies through practical examples and self-assessment.

• Coursera
• 12 hours 23 minutes
• Self-Paced
• Paid Course

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Career Certificate

Data Analysis with R

Comprehensive R-based data analysis program covering probability, inference, regression, and Bayesian statistics. Develop practical skills for data visualization, wrangling, and reproducible reporting.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 5 courses

Meta

Statistics Foundations

405 ratings at Coursera

Comprehensive exploration of statistical foundations for data analytics, covering descriptive and inferential statistics, hypothesis testing, and data modeling using Tableau.

• Coursera
• 21 hours 17 minutes
• Self-Paced
• Paid Course

Statistics for Data Analysis Using Excel (Accredited)

6383 ratings at Udemy

Descriptive and Inferential Statistics Theory With Excel Examples for Business / Six Sigma - 14 PMI PDUs (2025 Version)

• Udemy
• 11 hours 32 minutes
• Self-Paced
• Paid Course

NPTEL;  IIT Bombay

Introduction to Biostatistics

7 ratings

In this course, we will discuss different statistical tools required to (i) analyze our observations, (ii) design new experiments, and (iii) integrate a large number of observations in a single unified model.

• YouTube
• 19 hours
• Self-Paced
• Free Video

Career Certificate

Modern Statistics for Data-Driven Decision-Making

6 ratings at Coursera

Master statistical methods for data-driven decisions across business, industrial, and social environments with probability, regression, Bayesian concepts, and classification techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Statistical Estimation for Data Science and AI

96 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistics and Applied Data Analysis

49 ratings at Coursera

Master statistical concepts from basics through advanced analysis, using Excel and R for data visualization, hypothesis testing, and predictive modeling across three progressive levels.

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

Decision Making with Probability & Statistics, Do it Right.

3023 ratings at Udemy

For Good, Data driven Business Decision-Making : Avoid Probability and Statistics Misconceptions and Mistakes.

• Udemy
• 2 hours 54 minutes
• Self-Paced
• Paid Course

Master statistics & machine learning: intuition, math, code

2974 ratings at Udemy

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

• Udemy
• 1 day 14 hours 21 minutes
• Self-Paced
• Paid Course

Managing, Describing, and Analyzing Data

35 ratings at Coursera

Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.

• Coursera
• 17 hours 49 minutes
• Self-Paced
• Paid Course