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: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Workflow Management, AI Workflows, Data Preprocessing, Enterprise Modeling, Data Pipelines, Predictive Modeling, Applied Machine Learning, Model Evaluation, Machine Learning, Data Processing, Data Management
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Excel Macros, Financial Modeling, Prompt Engineering, Financial Forecasting, Generative AI, Automation, Process Optimization, Microsoft Excel, Excel Formulas, Financial Acumen, Simulation and Simulation Software, Visual Basic (Programming Language), Financial Reporting, Financial Planning, Code Review
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Exploratory Data Analysis, Data Visualization Software, Statistical Visualization, Data Storytelling, Scatter Plots, Pandas (Python Package)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Real Time Data, Dataflow, Scalability, Data Pipelines, Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning
Intermediate · Project · Less Than 2 Hours

Universidades Anáhuac
Skills you'll gain: AI Enablement, Artificial Intelligence, Customer Analysis, Business Analytics, Business Intelligence, Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Big Data, Data Analysis, Supervised Learning, Classification Algorithms, Natural Language Processing, Unsupervised Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Agentic systems, Human Computer Interaction, Interaction Design, User Experience Design, User Experience, Responsible AI, AI Product Strategy, Design Strategies, Human Centered Design, Data Ethics, Artificial Intelligence, Automation, Machine Learning, Technology Strategies, Emerging Technologies
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Statistical Methods, Dimensionality Reduction, Performance Tuning, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks