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.

Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, SAS (Software), Correlation Analysis, Statistical Software, Statistical Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Analysis, Graphical Tools, Predictive Modeling, Predictive Analytics, Model Evaluation
★ 4.7 (176) · Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Model Optimization, Applied Mathematics
★ 5 (8) · Intermediate · Course · 1 - 3 Months
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
★ 4.1 (323) · Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Probability Distribution, Pandas (Python Package), Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Computational Thinking, Statistical Methods, Data Processing, Statistical Analysis, Data Preprocessing, Data Structures, Statistics, Data Cleansing, Programming Principles, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Machine Learning Algorithms, Statistical Programming, Model Training, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis
Intermediate · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Statistical Programming, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
★ 4.6 (3.2K) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
★ 4.4 (7.2K) · 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, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
★ 4.6 (3.5K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting, Regression Analysis
★ 4.8 (409) · Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
★ 4.6 (8.8K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Logistic Regression, Model Training, Probability & Statistics, Model Evaluation, Statistical Software, Machine Learning Methods, Machine Learning Software
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Applied Behavior Analysis, Instructing, Mental and Behavioral Health, Behavioral Health
★ 4.9 (22) · Beginner · Course · 1 - 4 Weeks