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.
Coursera
Skills you'll gain: AI Security, USB, Threat Modeling, Model Deployment, Electronic Hardware, CI/CD, Security Engineering, Routing Protocols, Electronics Engineering, Schematic Diagrams, Verification And Validation, Design Software, Technical Design, Differential Equations, Business Strategies
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Data Presentation, Statistical Reporting, Statistical Methods, Interactive Data Visualization, Data Visualization, R (Software), Plotly, Data Storytelling, R Programming, Rmarkdown, Package and Software Management, Web Applications
Mixed · Course · 1 - 3 Months

Snowflake
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, LLM Application, Data Engineering, Data Manipulation, Snowflake Schema, Large Language Modeling, Model Deployment, Data Warehousing, Unstructured Data, Embeddings, Cloud Development, SQL, Natural Language Processing, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC)
Beginner · Professional Certificate · 1 - 3 Months

Macquarie University
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Model Evaluation, Regression Analysis, Microsoft Excel, Excel Formulas, Trend Analysis, Case Studies, Business Mathematics, Business Metrics, Predictive Modeling, Data Presentation, Statistical Visualization, Graphing, Business Economics, Statistical Modeling, Business Analytics, Decision Making, Process Optimization, Statistical Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression
Mixed · Course · 1 - 4 Weeks

Macquarie University
Skills you'll gain: Interactive Data Visualization, Pivot Tables And Charts, Data Visualization, Data Presentation, Data-Driven Decision-Making, Microsoft Excel, Correlation Analysis, Forecasting, Regression Analysis, Excel Formulas, Statistics, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Business Analytics, Statistical Inference, Box Plots, Statistical Analysis, Statistical Modeling, Statistical Visualization
Beginner · Specialization · 3 - 6 Months

Universidad Austral
Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Vision Transformer (ViT), Convolutional Neural Networks, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Computer Vision, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Classification Algorithms, Probability Distribution, Statistical Methods, Algorithms, Regression Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Statistical Hypothesis Testing, Statistics, Statistical Methods, Probability Distribution, Regression Analysis, Data-Driven Decision-Making, Data Science, Probability & Statistics, Statistical Inference, Correlation Analysis, NumPy, Matplotlib, Pandas (Python Package)
Mixed · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Statistical Inference
Intermediate · Course · 1 - 3 Months