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: Data Warehousing, Extract, Transform, Load, IBM Cognos Analytics, Database Design, Data Transformation, Data Mart, Star Schema, Data Modeling, MySQL, Dashboard, Data Architecture, Data Pipelines, PostgreSQL, Statistical Reporting, IT Automation, SQL
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Quality Management, Quality Improvement, Kaizen Methodology, Quality Control, Brainstorming, Benchmarking, Process Improvement, Run Chart, Continuous Improvement Process, Pareto Chart, Root Cause Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

University of Minnesota
Skills you'll gain: Social Determinants Of Health, Health Equity, Health Disparities, Health Systems, Community Health, Public Health, Health Informatics, Healthcare Ethics, Health Policy, Maternal Health, Systems Thinking, Statistical Software, Data Analysis, Box Plots, Substance Abuse, Data Ethics, Research Methodologies, Correlation Analysis, Scatter Plots, Environmental Monitoring
Beginner · Specialization · 3 - 6 Months

Icahn School of Medicine at Mount Sinai
Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Integration, Unsupervised Learning, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API
Intermediate · Course · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months