Statistics & Probability Courses and Certifications

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

Career Certificate

Probabilistic Graphical Models

1549 ratings at Coursera

Explore probabilistic graphical models, a powerful framework for encoding complex probability distributions, with applications in machine learning, medical diagnosis, and more.

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

Career Certificate

Statistics with Python

3346 ratings at Coursera

Learn statistical analysis using Python, from data collection and visualization to advanced modeling, enhancing your ability to answer research questions with data-driven insights.

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

Statistics Fundamentals in Python

Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

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

Statistics Fundamentals in R

Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

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

Applied Statistics in Python

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

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

This course complements the course on Inferential Statistics at Coursera.

• DataCamp
• Self-Paced
• Free Trial Available

This course complements the Coursera Basic Statistics course and is roughly based on the syllabus used by at the University of Amsterdam.

• DataCamp
• Self-Paced
• Free Trial Available

This interactive DataCamp course complements the Coursera course Introduction to Probability and Data by Mine Çetinkaya-Rundel.

• DataCamp
• Self-Paced
• Free Trial Available

Summary Statistics in Public Health

2055 ratings at Coursera

Explore statistical methods in public health research, covering summary measures, data visualization, continuous and binary data, time elements, and the Kaplan-Meier curve. Gain practical skills in interpreting and analyzing real-world health data.

• Coursera
• 15 hours 1 minute
• Self-Paced
• Paid Course

UofU Data Science

Introduction to Probability and Statistics - Lecture 0

Discover the fundamentals of probability and statistics, exploring core concepts and practical applications in data science through comprehensive class mechanics.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Great Learning

Statistics for Data Science - Probability and Statistics

Learn essential statistical concepts for data science, including types of analysis and practical implementation using Python, to build a strong foundation for advanced data science applications.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Inferential Statistics

2783 ratings at Coursera

Explore inferential statistics through hypothesis testing, p-values, and data analysis using R. Learn to interpret and report results for numerical and categorical data with confidence.

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

Statistics for Business - II

5 ratings

Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution.

• edX
• 7 weeks, 2-4 hours/week
• Self-Paced
• Free Certificate

Great Learning

Central Limit Theorem - Probability and Statistics for Beginners

Comprehensive tutorial on Central Limit Theorem, covering sampling, population, implementation in Python, hypothesis testing, and error types. Ideal for beginners in probability and statistics.

• YouTube
• 2 hours 20 minutes
• Self-Paced
• Free Video