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.

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

University of Illinois Urbana-Champaign
Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing
Beginner · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Amazon Bedrock, Cloud Computing Architecture, AI Workflows, Generative AI, Cloud Engineering, Amazon Web Services, Cloud Development, Cloud Computing, Applied Machine Learning, Cloud Deployment, Cloud Security, Amazon CloudWatch, Large Language Modeling, AWS Identity and Access Management (IAM), Performance Tuning, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
Mixed · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: TypeScript, Object Oriented Design, Object Oriented Programming (OOP), Programming Principles, Software Design, Computer Programming, Software Architecture, Debugging, Maintainability, Software Development, Javascript, Web Development Tools, Web Development
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Statistical Inference, Model Evaluation, Google Cloud Platform, Machine Learning Methods, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Kotlin, Software Design Patterns, Debugging
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: JUnit, Restful API, Software Design, JSON, Software Testing
Intermediate · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, Statistical Inference, Machine Learning Methods, SQL, Model Deployment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Model Deployment, Large Language Modeling, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Cloud Deployment, Performance Tuning, Hardware Architecture, Deep Learning, Embedded Systems, Computer Hardware, Scalability
Intermediate · Course · 1 - 4 Weeks