Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Plotly, Data Visualization, Model Evaluation, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Matplotlib, Pandas (Python Package), Data Presentation, Data Science, Data Import/Export, Programming Principles, Web Scraping, Python Programming, Machine Learning
Build toward a degree
Beginner · Specialization · 3 - 6 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Microsoft Excel, Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Software, Probability Distribution, Statistical Analysis, Data Analysis, Markov Model, Model Evaluation, R (Software), Data Science
Intermediate · Specialization · 3 - 6 Months

University of Cape Town
Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability
Beginner · Course · 1 - 3 Months
University of London
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Case Studies, Political Sciences
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)
Mixed · Course · 1 - 4 Weeks