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.

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Dashboard, Data Storytelling, Health Information Management, Data Cleansing, Health Informatics, Data Governance, Clinical Data Management, Patient Safety, Data Visualization, Data Security, Health Information Management and Medical Records, Data Analysis, Data Validation, Data Transformation, Statistical Analysis, Microsoft Excel, Data-Driven Decision-Making, SQL
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Seaborn, Data Storytelling, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Statistical Methods, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Data Presentation, Matplotlib, Data Visualization, Pandas (Python Package), Version Control, GitHub, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Reporting, Data Analysis, Data Presentation, Data Management, Data Strategy, Team Management, Workflow Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Communication
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Splunk, Role-Based Access Control (RBAC), Data Transformation, Data Analysis, Statistical Visualization, Infrastructure Architecture, Data Visualization Software, Statistical Analysis, Anomaly Detection, Exploratory Data Analysis, Configuration Management, Data Manipulation, Security Information and Event Management (SIEM), Scatter Plots, Distributed Computing, Authentications, Real Time Data, Software Installation, Query Languages
Beginner · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management
Beginner · Specialization · 3 - 6 Months

Meta
Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning
Intermediate · Specialization · 3 - 6 Months

Wesleyan University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 4 Weeks