Statistics & Probability Courses and Certifications

UofU Data Science

Probability and Statistics - Spring 2023

Master probability theory and statistical inference through conditional probability, Bayes' rule, random variables, expectation, hypothesis testing, and t-distributions.

• YouTube
• 1 day 13 hours 31 minutes
• Self-Paced
• Free Video

Statistical Thinking in Python (Part 1)

115 ratings at DataCamp

After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear, succinct conclusions from them.

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

Practicing Statistics Interview Questions in Python

89 ratings at DataCamp

Are you looking to land that next job or hone your statistics interview skills to stay sharp?

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

Career Certificate

Statistics with Python

3361 ratings at Coursera

Learn statistical analysis in Python: explore and visualize data, study data collection and design, build confidence intervals, interpret inferential results, and fit statistical models.

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

Practicing Statistics Interview Questions in R

23 ratings at DataCamp

Practice classic R statistics interview questions: probability distributions, exploratory data analysis of gas prices, t-tests and ANOVA, and linear and logistic regression models.

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

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

Statistics Fundamentals in Python

12 ratings at DataCamp

Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data.

• DataCamp
• 20 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

Career Certificate

Statistics for Data Analysis

8 ratings at Udacity

Work through descriptive statistics, probability, hypothesis testing, and linear/logistic regression, implementing each statistical concept in Python for data analyst work.

• Udacity
• 64 hours
• Self-Paced
• Paid Course

Statistics Fundamentals in R

Statistics is the study of how best to collect, analyze, and draw conclusions from data.

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

Statistician in R

## Unlock the Power of Statistics with R Become a statistician and help solve real-world problems across industries by mastering statistical methods and tools in R.

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

Applied Statistics in Python

Dive into the world of Python-based statistical analysis with this comprehensive track designed to equip you with the essential skills to make data-driven decisions.

• DataCamp
• 16 hours
• 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

Statistics for Data Science and Business Analysis

49499 ratings at Udemy

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

• Udemy
• 4 hours 52 minutes
• Self-Paced
• Paid Course