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.

Coursera
Intermediate · Course

Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Performance Tuning, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging
Advanced · Course · 1 - 3 Months
University of Colorado Boulder
Skills you'll gain: Model Evaluation, Data Mining, Unsupervised Learning, Supervised Learning, Service Level, Dimensionality Reduction, Deep Learning, Statistical Modeling, Applied Machine Learning, Anomaly Detection, Machine Learning Algorithms, Probability, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Data Warehousing, Recurrent Neural Networks (RNNs), Performance Testing, Bash (Scripting Language), Data Science
Credit offered
Graduate Certificate · 6 - 12 Months

University of Maryland, College Park
Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Web Analytics, Web Analytics and SEO, Google Ads, Online Advertising, Digital Advertising, Marketing Effectiveness, Advanced Analytics, A/B Testing, Applied Machine Learning, MarTech, Marketing Automation, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Governance, Data Management, AI Workflows, Business Workflow Analysis, Data Pipelines, Google Cloud Platform, Model Evaluation, Machine Learning, Containerization
Intermediate · Course · 1 - 3 Months

Coursera
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Tensorflow, Cloud Solutions, Applied Machine Learning, Model Deployment, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Big Data, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Analysis, Big Data, Analytics, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning
Beginner · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms, Anomaly Detection, Artificial Intelligence, Machine Learning, Data Ethics, Regression Analysis, Probability & Statistics, Responsible AI, Embedded Systems, Natural Language Processing, Linear Algebra, Computer Vision, Autoencoders, Image Analysis, Statistical Machine Learning, Probability, Predictive Modeling
Credit offered
Mastertrack · 6 - 12 Months

Google Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Machine Learning, Development Environment, Collaborative Software, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks