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: 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

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis
Beginner · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Journalism, Media and Communications, Web Scraping, Data Import/Export, JSON, Analysis, Statistical Analysis, Pandas (Python Package), Image Analysis, Advanced Analytics, Analytical Skills, Case Studies, Data-Driven Decision-Making, AI Enablement, Descriptive Statistics, Statistical Inference, Unsupervised Learning
Beginner · Specialization · 3 - 6 Months

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: Amazon Bedrock, Cloud Computing Architecture, AI Workflows, Generative AI, Amazon Web Services, Cloud Computing, Applied Machine Learning, Amazon CloudWatch, AWS Identity and Access Management (IAM), Performance Tuning, Scalability
Intermediate · Course · 1 - 4 Weeks

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

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

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

Google Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Analysis, Applied Machine Learning, Model Deployment, Machine Learning, Predictive Modeling, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Generative AI, Performance Tuning, Hardware Architecture, PyTorch (Machine Learning Library), Large Language Modeling, Performance Testing
Intermediate · Course · 1 - 4 Weeks

Coursera
Intermediate · Course