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
Skills you'll gain: Model Training, Model Optimization, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Statistical Methods, Probability, Probability & Statistics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Artificial Neural Networks, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming, Algorithms, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Model Training, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Advanced Analytics, Model Optimization, Exploratory Data Analysis, Data Analysis, Machine Learning, Automation, Model Evaluation, Model Deployment, Data Visualization, Virtual Environment
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Generative AI, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Machine Learning Methods, Predictive Modeling, Sample Size Determination, Applied Machine Learning, Machine Learning Algorithms, Model Optimization, Statistical Modeling, Probability Distribution, Machine Learning, Analytics, Data Analysis, Analysis, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, AI Integrations, Data Governance, Model Deployment, AI Product Strategy, Semiconductors, Data Science, Model Training, Statistical Process Controls, Predictive Modeling, Applied Machine Learning, Model Evaluation, Data Quality, Anomaly Detection, Machine Learning, Machine Learning Methods, Random Forest Algorithm, Algorithms
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Natural Language Processing, Google Cloud Platform, Data Analysis, Machine Learning
Intermediate · Project · Less Than 2 Hours

Fundação Instituto de Administração
Skills you'll gain: Supply Chain Management, Supply Chain Planning, Business Transformation, Business Strategy, Value Propositions, Applied Machine Learning, Cloud-Based Integration, Cloud Computing, Cloud Applications, Business Modeling, Big Data, Automation, Internet Of Things, Systems Integration, Machine Learning, Predictive Analytics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours