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: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Machine Learning Methods, Supervised Learning, Statistical Methods, Statistics, Data Literacy, Probability, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Computer Programming, Mathematics and Mathematical Modeling, Data Processing
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Clinical Trials, Experimentation, Environment and Resource Management, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Social Impact, Science and Research, Clinical Research, Statistical Methods, Research Methodologies, Statistical Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, AI literacy, Machine Learning, Artificial Neural Networks, Deep Learning, Model Training
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Ethics, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Data Quality, AI literacy, Human Computer Interaction, Business Solutions, Machine Learning, Data Wrangling, Business Metrics, Data Storytelling, Generative AI, Business Analytics, Data Validation, Dashboard, Automation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Data Manipulation, Data Transformation, Feature Engineering, Text Mining, Project Design, Unstructured Data, Data Integration, Python Programming, Metadata Management, Natural Language Processing, Deep Learning, Machine Learning
★ 4.8 (15) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Data Presentation, Data Analysis, Model Evaluation, Dashboard Creation, Interactive Data Visualization, No-Code Development, Market Data, Business Analytics, Data Science, Analytics, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: Reinforcement Learning, Google Cloud Platform, GitHub, Tensorflow, Machine Learning, Game Design
★ 3.7 (10) · Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Analytics, Data Manipulation, Predictive Analytics, Model Training, Predictive Modeling, Machine Learning, Data Access, Exploratory Data Analysis, SQL
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Financial Modeling, Operational Analysis, Business Modeling, Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Reporting, Financial Analysis, Accounting, Balance Sheet, Cash Flows, Business Valuation, Income Statement, Cash Flow Forecasting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization
★ 4.4 (17) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Machine Learning Methods, Data Preprocessing, Data Ethics, Model Evaluation, Process Driven Development, Model Training, Business Reporting, Responsible AI, Performance Reporting
Intermediate · Course · 1 - 4 Weeks