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.

Clemson University
Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Descriptive Statistics, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Predictive Modeling, Machine Learning, Supervised Learning
Intermediate · Course · 1 - 3 Months
Duke University
Skills you'll gain: Data Ethics, Responsible AI, Data Visualization, Data Presentation, Data Storytelling, Ethical Standards And Conduct, Data Science, Data Collection, Data Visualization Software, Personally Identifiable Information, Information Privacy, Machine Learning, Algorithms
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Marketing Effectiveness, Forecasting, Marketing Strategies, Strategic Decision-Making, Strategic Leadership, Time Series Analysis and Forecasting, Simulation and Simulation Software, Predictive Analytics, Customer Analysis, Customer Engagement, Bayesian Statistics, Customer Retention, Consumer Behaviour, Reinforcement Learning, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Django (Web Framework), Data Visualization, Statistical Modeling, Feature Engineering, Application Programming Interface (API), Programming Principles, Relational Databases, Databases, Development Environment, Data Science, Data Cleansing, Animation and Game Design, Authorization (Computing), Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides, Software Design
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Investment Management, Variance Analysis, Risk Modeling
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Analytics, Predictive Analytics, Machine Learning, SQL
Beginner · Project · Less Than 2 Hours

Universidad Austral
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Software Development Life Cycle, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Feature Engineering, Data Processing, MLOps (Machine Learning Operations), Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Application Deployment, Machine Learning, Scalability
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Clinical Trials, Experimentation, Environment and Resource Management, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Statistical Methods, Research Methodologies
Intermediate · Course · 1 - 3 Months