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.

Johns 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
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Data Science, Advanced Analytics, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Data Cleansing, Risk Modeling, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, R (Software), Version Control, Data Analysis, Big Data, R Programming, General Science and Research, Git (Version Control System), Data Quality, Data Management, Technical Communication
Mixed · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Classification Algorithms, Model Evaluation, Machine Learning Algorithms, Logistic Regression, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Supervised Learning, Data Modeling, Analytics, Analysis, Data Analysis, Business Metrics, Feature Engineering, Advanced Analytics, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Data Visualization, Exploratory Data Analysis
Advanced · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: R Programming, Statistical Analysis, Correlation Analysis, Data-Driven Decision-Making, Business Analytics, Statistical Methods, Data Analysis, Unsupervised Learning, Business Analysis, Exploratory Data Analysis, Advanced Analytics, Data Visualization, Probability & Statistics, Machine Learning Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science
Intermediate · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Digital Transformation, Artificial Intelligence, Responsible AI, Cloud Solutions, Data Quality, Business Intelligence, Machine Learning, Applied Machine Learning, Cloud API
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Lean Six Sigma, Performance Improvement, Statistical Process Controls, Operational Analysis, Process Improvement, Statistical Methods, Continuous Improvement Process, Innovation, Operations Management, Probability & Statistics, Problem Solving
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Large Language Modeling, Cloud Deployment, Data Ethics, CI/CD, Transfer Learning, Model Evaluation, Performance Tuning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks