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.

SkillsBooster Academy
Skills you'll gain: Email Marketing, Lead Generation, Email Automation, Customer Relationship Management (CRM) Software, Performance Metric, Sales Pipelines, Digital Marketing, Copywriting, Customer Support, Customer Engagement, Data Pipelines, Compliance Management, Revenue Cycle Management, Generative AI, Design and Product, Product Design, Law, Regulation, and Compliance, Artificial Intelligence, Design Elements And Principles, Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Amazon Web Services, Cloud Deployment, Computer Vision, Cloud Computing, Application Deployment, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, NumPy, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Plot (Graphics), Statistical Visualization, Data Visualization Software, Interactive Data Visualization, Data Presentation, Scatter Plots, Jupyter, Histogram, Box Plots, Graphing, Computer Programming, Development Environment, Animations
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation
Mixed · 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: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
Beginner · Course · 3 - 6 Months
University of Lausanne
Skills you'll gain: Health Policy, Public Health, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Governance, Policy Development, Social Determinants Of Health, Sustainable Development, Health Assessment, Systems Analysis, Predictive Modeling, Environmental Issue, Data Collection, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis
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