Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

University of Cambridge
Skills you'll gain: Financial Acumen, Variance Analysis, Financial Forecasting, Cash Flows, Financial Analysis, Financial Modeling, Financial Reporting, Cost Estimation, Financial Statements, Return On Investment, Accounting, Project Estimation, Budgeting, Microsoft Excel, Business Modeling
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Model Deployment, Prompt Patterns, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API), Scalability
Intermediate · Course · 1 - 4 Weeks

University of Geneva
Skills you'll gain: Scientific Methods, Scientific Visualization, Physical Science, Research, Quantitative Research, Physics, Mathematical Modeling, Simulations, Mechanics, Chemistry
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Natural Language Processing, Model Deployment, Open Source Technology, Prompt Engineering, Containerization, Machine Learning
Beginner · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Artificial Intelligence, Performance Analysis, Automation, Personalized Service, Digital Transformation, Augmented and Virtual Reality (AR/VR), Technology Strategies, Innovation, Internet Of Things, Machine Learning, Big Data, Ethical Standards And Conduct, Deep Learning, Analytical Skills, Predictive Analytics, Health Technology, Data Analysis, Natural Language Processing, User Experience, Data Security
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Cloud Computing, Development Environment
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, Data Quality, Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Scikit Learn (Machine Learning Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Big Data, Applied Machine Learning, Data Pipelines, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Preprocessing, Predictive Analytics, Data Integration, Data Collection, Applied Machine Learning, R Programming, Research, Data Validation, Python Programming
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics
Intermediate · Course · 1 - 3 Months