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.

DeepLearning.AI
Skills you'll gain: Transfer Learning, Model Training, Machine Learning Methods, Applied Machine Learning, Debugging, Decision Intelligence, Deep Learning, Machine Learning, Artificial Intelligence, Model Evaluation, Model Optimization, Analysis, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation
★ 4.6 (14) · Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Applied Machine Learning, Database Management Systems, Data Architecture, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Data Access, Machine Learning, Scalability, Data Integrity, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Sheets, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Google Workspace, Collaborative Software, Descriptive Statistics, Descriptive Analytics, Data Presentation, Data Manipulation, Data Management, Cloud Computing
★ 2.4 (7) · Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Deep Learning, Generative AI, Tensorflow, Amazon Web Services, Keras (Neural Network Library), Artificial Intelligence, Machine Learning Methods, Natural Language Processing, Python Programming, Serverless Computing, Machine Learning, Model Training, Cloud-Based Integration, Cloud Deployment, Application Deployment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data-Driven Decision-Making, Feature Engineering, Predictive Analytics, Anomaly Detection, Model Training, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Fine-tuning, Model Training, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Python Programming, Natural Language Processing, Performance Tuning, Algorithms, Model Evaluation, Data Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Risk Modeling, Risk Management Framework, Financial Modeling, Budgeting, Risk Analysis, Capital Budgeting, Risk Management, Portfolio Risk, Financial Analysis, Capital Expenditure, Portfolio Management, Key Performance Indicators (KPIs), Operating Budget, Investments, Asset Management, Return On Investment, Smart Goals, Financial Forecasting, Performance Measurement, Equities
Intermediate · Course · 3 - 6 Months

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Incident Management, Site Reliability Engineering, Incident Response, Problem Management, Infrastructure as Code (IaC), Ansible, Continuous Deployment, Prometheus (Software), Cloud Computing, CI/CD, Kubernetes, Service Level, Performance Testing, Jenkins, Grafana, Amazon Elastic Compute Cloud, Configuration Management, Docker (Software), Artificial Intelligence, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Dashboard Creation, Conversion Funnel Analysis, Web Analytics, Process Analysis, Heat Maps, Marketing Analytics, Customer Analysis, Requirements Analysis, Requirements Elicitation, Process Optimization, Interactive Data Visualization, Process Design, Business Requirements, Data Presentation, Predictive Analytics, Customer Retention, Performance Metric, Key Performance Indicators (KPIs), Statistical Analysis
Intermediate · Course · 1 - 3 Months