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.

Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

The University of Notre Dame
Skills you'll gain: Data Ethics, Analytical Skills, Responsible AI, Big Data, Ethical Standards And Conduct, Machine Learning, Business Ethics, Information Privacy, Artificial Intelligence, Technology Strategies, Social Justice
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Process Improvement, Process Capability, Quality Control, Continuous Improvement Process, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs
Mixed · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Network Analysis, Unsupervised Learning, Social Network Analysis, Supervised Learning, Unstructured Data, Marketing Analytics, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Data Analysis, Model Evaluation, Transfer Learning, Predictive Modeling, Semantic Web, JSON, Statistical Methods, Data Manipulation, Data Structures
Build toward a degree
Beginner · Specialization · 3 - 6 Months
Illinois Tech
Skills you'll gain: Health Informatics, Clinical Informatics, Technology Roadmaps, Patient Flow, Public Health, Health Systems, Innovation, Health Care, Healthcare Project Management, Systems Integration, Data Analysis, Health Policy, Medical Terminology, Emerging Technologies, Data Management, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Regulatory Compliance, Natural Language Processing
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, Machine Learning, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Case Studies, Risk Mitigation, Law, Regulation, and Compliance, Decision Making, Workforce Management, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Simulations, Visualization (Computer Graphics), Statistical Visualization, R (Software), R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis, Process Analysis, Data Analysis, Test Case
Beginner · Guided Project · Less Than 2 Hours

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

Imperial College London
Skills you'll gain: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Health Informatics, Quantitative Research, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Systems Of Measurement, Time Series Analysis and Forecasting
Beginner · Course · 1 - 4 Weeks