Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

University of California San Diego
Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Molecular Biology, Data Preprocessing, Machine Learning, Data Analysis Software, Life Sciences, Anthropology
Intermediate · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Statistical Analysis, Data Analysis Software, STATA (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Logistic Regression, Informed Consent
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Drug Development, Clinical Trials, Pharmaceuticals, Clinical Research, Pre-Clinical Development, Pharmacology, Medical Devices, Statistical Analysis, Epidemiology, Health Policy, Regulatory Compliance, Data Collection
Mixed · Course · 1 - 4 Weeks

Genentech
Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Import/Export, Data Transformation, Data Science
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations
Intermediate · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Machine Learning Methods, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
Beginner · Specialization · 1 - 3 Months

LearnQuest
Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Cloud Computing, Development Environment
Beginner · Project · Less Than 2 Hours

Duke University
Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Plot (Graphics), Plotly, Matplotlib, Data Presentation, Dashboard, Seaborn, Tableau Software, Scatter Plots, Heat Maps, Histogram, Google Sheets, Data Analysis, Python Programming, Cloud Applications, Business Communication
Intermediate · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms
Beginner · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Build toward a degree
Beginner · Course · 1 - 4 Weeks