Statistics & Probability Courses and Certifications

Defining, Describing, and Visualizing Data

16 ratings at Coursera

Classify data by measurement scale, calculate descriptive statistics, visualize datasets, and apply probability rules and discrete and continuous distributions using RStudio and ROIStat.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel, Part 2

12 ratings at Coursera

Run one- and two-sample hypothesis tests, build simple and multiple linear regression models, and perform ANOVA in Excel, using sampling distributions and confidence intervals.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Statistics and data literacy for non-statisticians

2572 ratings at Udemy

Learn the key terms and analysis methods in statistics

• Udemy
• 1 hour 37 minutes
• Self-Paced
• Free Online Course

Data Acquisition, Risk, and Estimation

Plan sampling for valid data, then compute point and interval estimates, best/worst-case scenarios, and effect size, sample size, and power in RStudio and ROIStat.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

BiteSize Statistics for Absolute Beginners

Learn foundational statistics: classify nominal, ordinal, interval and ratio data, compute mean and variance, apply Bayes' theorem, and work with normal, binomial and uniform distributions.

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

Career Certificate

Statistics and Data Analysis with Excel

142 ratings at Coursera

Learn to summarise data, test hypotheses, and build regression, ANOVA and forecasting models in Excel using PivotTables, the Data Analysis ToolPak and interactive visualisations.

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

Population Health: Responsible Data Analysis

46 ratings at Coursera

Analyze population health data responsibly in R: gather, clean and explore data, apply statistical inference, hypothesis testing and regression, then critically report findings and bias.

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

What are the Chances? Probability and Uncertainty in Statistics

18 ratings at Coursera

Learn to quantify uncertainty in statistical findings: apply probability rules and distributions, run hypothesis tests with test statistics and confidence intervals, and judge significance of regression coefficients and polls.

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

Statistics and Data Analysis with Excel: Essentials

96 ratings at Coursera

Learn descriptive and inferential statistics in Excel: mean, median, mode, variance, standard deviation, boxplots, the normal distribution, Central Limit Theorem, and hypothesis testing.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel: Essentials

96 ratings at Coursera

Analyse data in Excel: summarise data with descriptive statistics, measure spread and variance, work with the normal distribution, and draw inferences from samples.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Microsoft Excel: Essential Statistics for Data Analysis

1772 ratings at Udemy

Learn statistics for data analysis with fun, real-world Excel demos: probability, hypothesis testing, regression & more!

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

Statistics for Applications

1 rating

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

Research Methods and Statistics: An Introduction (2023 Ed.)

982 ratings at Udemy

A Primer in Research Methodology and Statistics in the Social Sciences (2023 Edition)

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

Statistical Thinking for Industrial Problem Solving, presented by JMP

101 ratings at Coursera

Apply statistical thinking to industrial problems: explore data in JMP, build control charts, run hypothesis tests, fit linear and logistic regression, and design experiments.

• Coursera
• 10 weeks, 5 hours a week
• Self-Paced
• Free Online Course

Statistics for Data Analysis Using Python

1575 ratings at Udemy

Learn Python from Basics • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

• Udemy
• 15 hours 58 minutes
• Self-Paced
• Paid Course