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: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Probability & Statistics, Text Mining, Statistical Analysis, Probability Distribution, Data Analysis, Network Analysis, Statistical Methods, Feature Engineering, Probability, Data Mining, Data Structures, Statistics, Descriptive Statistics, Unstructured Data, Data Processing, Data Cleansing, Network Model, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: R Programming, Model Optimization, R (Software), Analysis, Mathematical Software, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Cloud Applications, Scripting, Cloud Development, Cloud API, Document Management, Machine Learning
Intermediate · Project · Less Than 2 Hours

Microsoft
Skills you'll gain: GitHub Copilot, Version Control, Collaborative Software, GitHub, Software Documentation, R Programming, Debugging, Software Installation
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Performance Testing, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Responsible AI, Digital Transformation, Artificial Intelligence, AI literacy, Model Training, Data Quality, Cloud Solutions, Analytics, Applied Machine Learning, Business Transformation, Machine Learning, Emerging Technologies, Computer Vision
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Lakes, Microsoft Azure, Data Architecture, Extract, Transform, Load, Power BI, Data Security, Data Transformation, Data Governance, Data Warehousing, Real Time Data, Computing Platforms, Collaborative Software, Data-Driven Decision-Making, Data Integration, Dashboard, Data Analysis, Data Presentation, Cloud Infrastructure, Python Programming, Machine Learning
Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Plot (Graphics), Seaborn, Data-Driven Decision-Making, Network Model, Data Mining, Scatter Plots, R Programming, R (Software), Graphing, Graph Theory, Box Plots, Heat Maps
Build toward a degree
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dashboard Creation, Dashboard, Splunk, Role-Based Access Control (RBAC), Data Transformation, Statistical Visualization, Infrastructure Architecture, Data Infrastructure, Data Visualization Software, Analytical Skills, Data Analysis, Statistical Analysis, Anomaly Detection, Exploratory Data Analysis, Configuration Management, Data Manipulation, Data Presentation, Interactive Data Visualization, Scatter Plots, Authentications
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Sample Size Determination, Data Strategy, Sampling (Statistics), Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Maintainability, Research and Design, Version Control, Software Documentation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Decision Intelligence, Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Machine Learning, Business Metrics, Predictive Analytics, Analysis
Intermediate · Course · 1 - 4 Weeks