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.

Imperial College London
Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Mergers & Acquisitions, Business Valuation, Private Equity, Financial Analysis, Financial Modeling, Corporate Finance, Corporate Strategy, Market Data, Cash Flows, Risk Analysis
Intermediate · Course · 1 - 3 Months

Commonwealth Education Trust
Skills you'll gain: Teaching, Education and Training, Curriculum Planning, Student Engagement, Instructional and Curriculum Design, Surveys, Instructional Strategies, Peer Review, Report Writing, Statistical Analysis
Mixed · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Portfolio Management, Time Series Analysis and Forecasting, Performance Measurement, Financial Forecasting, Analytics, Financial Trading, Financial Analysis, R Programming, Trend Analysis, Investments, Statistical Analysis, Risk Analysis, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Anomaly Detection, Microsoft Azure, Artificial Intelligence, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Natural Language Processing, Machine Learning, Text Mining
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines
Intermediate · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Infographics, Storyboarding, Canva (Software), Prompt Engineering, Copywriting, Generative AI, Content Creation, Marketing Strategies, Blogs, Collaborative Software, AI Enablement, ChatGPT, MarTech, Graphic Design, Multimedia, Graphic and Visual Design, Brand Awareness, Artificial Intelligence, Search Engine Optimization, Machine Learning
Intermediate · Specialization · 1 - 3 Months

American Psychological Association
Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods
Beginner · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Quality Management, ISO 9000 Series, Statistical Process Controls, Product Quality (QA/QC), Quality Improvement, Service Improvement, Customer experience improvement, Continuous Quality Improvement (CQI), Quality Control, User Feedback, Kaizen Methodology, Operational Excellence, Continuous Improvement Process, Process Improvement, Six Sigma Methodology
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Predictive Modeling
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics
Beginner · Specialization · 3 - 6 Months