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.

Google Cloud
Skills you'll gain: Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Generative AI, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Natural Language Processing
Advanced · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Gemini, Google Cloud Platform, Customer Analysis, Cloud Management, Applied Machine Learning, Jupyter, Cloud Applications, LLM Application, Text Mining, Machine Learning, Business Reporting, SQL
Intermediate · Project · Less Than 2 Hours

Fundação Instituto de Administração
Skills you'll gain: Supply Chain Management, Supply Chain Planning, Business Transformation, Business Strategies, Value Propositions, Digital Transformation, Cloud Computing, Cloud Applications, Business Modeling, Big Data, Automation, Internet Of Things, Systems Integration, Machine Learning, Blockchain
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Health Informatics, Sampling (Statistics), Health Disparities, Health Assessment, Health Information Management, Data Integration, Electronic Medical Record System, Continuous Monitoring, Information Systems
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Financial Data, Financial Forecasting, Management Reporting, Dashboard, Budgeting, Financial Management, Predictive Modeling, Advanced Analytics, Forecasting, Power BI, AI Enablement, Generative AI, Tableau Software, Financial Modeling, Artificial Intelligence, Microsoft Excel, Financial Analysis, Data Visualization Software, Automation, Data Visualization
Intermediate · Course · 1 - 4 Weeks

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: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
Intermediate · Course · 3 - 6 Months