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 North Texas
Skills you'll gain: Operations Management, Exploratory Data Analysis, Business Writing, Mediation, Model Evaluation, Change Management, Leadership Studies, Compensation and Benefits, Consumer Behaviour, Organizational Change, Stakeholder Management, Event Management, Grammar, Social Media Strategy, Business Ethics, Google Cloud Platform, Sales Process, Diversity Awareness, Conflict Management, Research
Earn a degree
Degree · 1 - 4 Years

Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Epidemiology, Public Health, Social Determinants Of Health, Public Health and Disease Prevention, Health Disparities, Biostatistics, Health Equity, Medical Records, Demography, Vital Signs, Health Policy, Diversity Awareness, Medical Coding, Record Keeping, Data Quality, Health Information Management, Data Collection
Beginner · 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

Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Embeddings, Deep Learning, Applied Machine Learning
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction
Mixed · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Data Ethics, Social Network Analysis, Data Presentation, Statistical Machine Learning, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Data Storytelling, Exploratory Data Analysis, Bayesian Statistics, Dimensionality Reduction, Data Analysis, Data Visualization, Statistical Visualization, Supervised Learning, Network Analysis, Unsupervised Learning, Data Preprocessing, Web Scraping, Statistical Modeling, Python Programming
Earn a degree
Degree · 1 - 4 Years

Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months