Causal Inference Courses
Causal inference courses can help you learn statistical techniques, experimental design, and observational study methods. You can build skills in identifying causal relationships, analyzing data sets, and interpreting results to inform decision-making. Many courses introduce tools like R, Python, and specialized software for conducting causal analyses, enabling you to apply these skills in real-world contexts such as public health, economics, and social sciences.
Popular Causal Inference Courses and Certifications
Status: Free TrialJohns Hopkins University
Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications
Status: PreviewTufts University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Statistics, Business Analytics, Python Programming, Technical Communication
Status: Free TrialUniversity of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution
Status: PreviewUniversiteit Leiden
Skills you'll gain: Predictive Analytics, Predictive Modeling, Model Evaluation, R Programming, Preventative Care, Health Informatics, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Precision Medicine, Supervised Learning, Data Preprocessing
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference
Status: Free TrialSkills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
Status: Free TrialAmerican Psychological Association
Skills you'll gain: Statistical Hypothesis Testing, Sample Size Determination, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability, Data Analysis
Status: Free TrialImperial College London
Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Public Health and Disease Prevention, Regression Analysis, Statistical Analysis
Status: Free TrialJohns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Status: Free TrialEdureka
Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Big Data, Python Programming, Data Manipulation, Pandas (Python Package), NumPy
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling
In summary, here are 10 of our most popular causal inference courses
- Data Science Decisions in Time: Using Causal Information:Â Johns Hopkins University
- How Science Turns Data Into Knowledge:Â University of Michigan
- Hypothesis Testing with Python and Excel:Â Tufts University
- Bayesian Statistics: Capstone Project:Â University of California, Santa Cruz
- Population Health: Predictive Analytics:Â Universiteit Leiden
- A Crash Course in Data Science:Â Johns Hopkins University
- Business Applications of Hypothesis Testing and Confidence Interval Estimation :Â Rice University
- Intro to Null Hypothesis Significance Testing with z-test:Â American Psychological Association
- Validity and Bias in Epidemiology:Â Imperial College London
- Computational and Graphical Models in Probability:Â Johns Hopkins University
