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.
Yonsei University
Skills you'll gain: Capital Budgeting, Financial Statement Analysis, Business Valuation, Strategic Decision-Making, Financial Analysis, Entrepreneurial Finance, Financial Forecasting, Financial Management, Financial Modeling, Entrepreneurship, Market Analysis, Cash Flows, Competitive Analysis, Business Research, Company, Product, and Service Knowledge, Business Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Power BI, Dashboard, Interactive Data Visualization, Data Analysis Expressions (DAX), Business Reporting, Data Governance, Data Modeling, Data Transformation, Data Management, Data Manipulation, Role-Based Access Control (RBAC), Data Security, Data Cleansing
Advanced · Course · 1 - 4 Weeks

University of Cambridge
Skills you'll gain: Accrual Accounting, Accruals, Financial Accounting, Financial Modeling, Accounting, Equities, Financial Market, Capital Markets, Financial Analysis, Sustainable Business, Depreciation, Financial Statements, Cash Flows, Loans, Profit and Loss (P&L) Management, Microsoft Excel, Strategic Decision-Making
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Import/Export, Scripting, R Programming, Data Processing, Statistical Programming, Data Structures
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Vocabulary, Critical Thinking, Problem Solving, Grammar, English Language, Literacy, Analytical Skills, Learning Strategies, Verbal Communication Skills, Time Management
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Tensorflow, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Data Processing, Machine Learning, Supervised Learning, Data Science
Advanced · Project · Less Than 2 Hours

Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, Prompt Engineering, AI Security, Google Gemini, Gemini, Prompt Patterns, Generative AI, Embeddings, Multimodal Prompts, Model Deployment, Vector Databases, Keras (Neural Network Library), Google Cloud Platform, Generative Model Architectures, Data Ethics, Tensorflow, Retrieval-Augmented Generation, Natural Language Processing, Recurrent Neural Networks (RNNs), Machine Learning
Advanced · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing
Advanced · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks