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: AI Enablement, AI Product Strategy, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Data Analysis, Business Strategy, Business Process Automation, Data Architecture, Artificial Intelligence, Data Collection, Data Integration, Business Technologies, Analytics, Leadership, Innovation, Machine Learning, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Reporting, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Data Science, Machine Learning Algorithms
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference
Mixed · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Relational Databases, Database Design, Data Architecture, NoSQL, Data Pipelines, Applied Machine Learning, MongoDB, Statistical Reporting, SQL, MySQL, Data Analysis, Python Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Quality Assurance and Control, Product Quality (QA/QC), Quality Assessment, Statistical Process Controls, Good Manufacturing Practices, Quality Management, Regulatory Affairs, Safety Standards, Regulatory Compliance, Product Testing, Standard Operating Procedure
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, Generative AI, AI Security, Google Cloud Platform, Unstructured Data, Data Literacy, Data Ethics, Data Modeling, Large Language Modeling, Artificial Intelligence, Deep Learning, Machine Learning, Data Quality, Innovation
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Program Evaluation, Education and Training, Teaching, Instructional and Curriculum Design, Survey Creation, Data Analysis Software, Education Software and Technology, Qualitative Research, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, Object Oriented Programming (OOP), Data Analysis
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Program Development, Scalability, Deep Learning, C and C++, Software Development, Convolutional Neural Networks, C++ (Programming Language), Performance Tuning, Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Mathematical Software, Programming Principles, OS Process Management, Data Structures, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks