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.
CertNexus
Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Financial Modeling, Community Development, Real Estate, Feasibility Studies, Financial Analysis, Risk Management, Community Outreach, Project Finance, Due Diligence, Sustainable Development, Property Management, Project Management, Capital Markets, Market Research
Beginner · Course · 1 - 3 Months

Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Process Analysis, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Process Optimization, Quality Improvement, Risk Management, Quality Management, Statistical Analysis, Quality Control, Process Capability
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Diagnostic Radiology, Bayesian Network, Artificial Neural Networks, Radiography, Machine Learning, Model Evaluation, Epidemiology, Deep Learning
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
Intermediate · Specialization · 3 - 6 Months
University of Toronto
Skills you'll gain: Network Analysis, Bioinformatics, Analysis, Data Synthesis, Statistical Methods, Technical Communication, Data Collection
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Data Ethics, Data Integrity, Data Analysis, Tableau Software, Stakeholder Communications, Responsible AI, Verbal Communication Skills, Small Data, Decision Making, Stakeholder Analysis, Sampling (Statistics), Key Performance Indicators (KPIs), Probability & Statistics, Big Data, Data Sharing, Statistics, Spreadsheet Software, Concision, Solution Design
Beginner · Specialization · 3 - 6 Months
University of Toronto
Skills you'll gain: Scientific Visualization, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Visualization (Computer Graphics), R (Software), Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Exploratory Data Analysis, Heat Maps, Molecular Biology, Design Thinking
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months