Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Plotly, Data Visualization, Datamaps, Data Visualization Software, Scatter Plots, Jupyter, Python Programming, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Medical Science and Research
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
Beginner · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Report Writing, Operations Research, Applied Mathematics, Mathematical Modeling, Algorithms, Industrial Engineering, Business Modeling, Process Optimization, Engineering Calculations, Feasibility Studies, Project Design, Engineering Management, Business Operations, Computational Thinking, Data Visualization, Complex Problem Solving, Decision Making, Performance Metric, Business Analytics
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Generative AI, Large Language Modeling, Generative Adversarial Networks (GANs), ChatGPT, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Prompt Engineering, Application Programming Interface (API), Transfer Learning, Machine Learning Algorithms, Data Preprocessing, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)
Intermediate · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Financial Modeling, Strategic Decision-Making, Financial Forecasting, Financial Analysis, Operating Expense, Financial Statement Analysis, Revenue Forecasting, Business Metrics, Business Valuation, Financial Statements, Cash Flow Forecasting, Income Statement, Working Capital, Trend Analysis, Depreciation, Balance Sheet, Cash Flows
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Data Storytelling, Spreadsheet Software, Generative AI, Data Analysis
Beginner · Course · 1 - 4 Weeks