Quantitative research courses can help you learn statistical analysis, survey design, data interpretation, and hypothesis testing. You can build skills in regression analysis, sampling techniques, and data visualization. Many courses introduce tools like SPSS, R, and Excel, that support analyzing data sets and drawing meaningful conclusions. You'll also explore methods for conducting experiments and surveys, enabling you to apply quantitative techniques in various fields such as social sciences, market research, and public health.

Macquarie University
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Analysis, Statistical Inference, Statistical Methods, Spreadsheet Software, Excel Formulas, Sampling (Statistics), Data-Driven Decision-Making, Box Plots, Probability Distribution, Descriptive Analytics, Data Visualization, Data Visualization Software, Variance Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Logistic Regression, Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Data Analysis, Regression Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Statistical Programming, R Programming, R (Software), Predictive Modeling, Analytics, Technical Communication, Analysis
Beginner · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Regression Analysis, Performance Measurement, Sampling (Statistics), Statistical Analysis, Statistical Inference, Risk Management, Analysis, Estimation, Bayesian Statistics, Statistical Methods, Probability & Statistics, Risk Appetite, Statistics, Model Evaluation, Risk Analysis, Systems Of Measurement, Decision Making, Data Management, Leadership and Management, Leadership
Advanced · 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
Mixed · Course · 1 - 4 Weeks