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: Financial Modeling, Balance Sheet, Financial Statement Analysis, Financial Statements, Revenue Forecasting, Depreciation, Capital Expenditure, Financial Analysis, Case Studies, Financial Forecasting, Finance, Business Valuation, Profit and Loss (P&L) Management, International Finance, Working Capital, Equities, Corporate Finance, Forecasting, Analysis
★ 4.8 (13) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Microarchitecture
★ 4.2 (9) · Intermediate · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Web Analytics and SEO, AI Personalization, Document Management, Semantic Web, Vector Databases, Algorithms, Model Evaluation, Text Mining, Natural Language Processing, User Research, Business Modeling, Statistical Methods
★ 5 (8) · Intermediate · Course · 3 - 6 Months

Skills you'll gain: Prompt Patterns, Prompt Engineering, Responsible AI, Data Presentation, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Generative AI, Data Analysis, Analytical Skills
★ 4.9 (24) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Wrangling, Data Cleansing, Data Integration, Tidyverse (R Package), R Programming, Data Quality, R (Software), Data Processing, Data Preprocessing
★ 4.6 (25) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Bookkeeping, Financial Analysis, Financial Modeling, Financial Statements, Financial Statement Analysis, Financial Accounting, Financial Reporting, Microsoft Excel, Reconciliation, Income Statement, Accounting, Excel Formulas, Balance Sheet, Cash Flows, Spreadsheet Software, Auditing, Verification And Validation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Model Training, Google Cloud Platform, Data Quality, Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Keras (Neural Network Library), Data Strategy, Machine Learning, Machine Learning Methods, Embeddings, Cloud Deployment, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow
★ 4.7 (92) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Wrangling, Data Preprocessing, Data Science, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming
★ 4.6 (13) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
Intermediate · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, Cloud Deployment, PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Application Deployment, Model Training, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning
★ 4.3 (15) · Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, AI Integrations, Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Datamaps, Interactive Data Visualization, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Plot (Graphics), Data Access, Correlation Analysis, Exploratory Data Analysis, Data Preprocessing, Data Science, Data Analysis, Python Programming
★ 4.4 (10) · Beginner · Guided Project · Less Than 2 Hours