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: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming
Advanced · Course · 1 - 4 Weeks

École Polytechnique
Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference
Mixed · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Statistical Visualization, Seaborn, Data Visualization, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Qualitative Research, Data Validation, Data Quality, Text Mining
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Backlogs, Quality Management, Project Closure, Project Planning, Scope Management, Team Management, Project Scoping, Agile Project Management, Budget Management, Project Risk Management, Milestones (Project Management), Team Leadership, Communication Planning, Agile Software Development, Sprint Retrospectives, Resource Management, Project Management Life Cycle, Smart Goals, Change Management, Project Management
Beginner · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control
Mixed · Course · 1 - 4 Weeks

Shanghai Jiao Tong University
Skills you'll gain: Graph Theory, Theoretical Computer Science, Combinatorics, Logical Reasoning, Computational Thinking, Data Structures, Computer Science, Applied Mathematics, Algorithms, Operations Research, Network Model, Computer Networking
Beginner · Course · 1 - 3 Months

California Institute of the Arts
Skills you'll gain: Animation and Game Design, Animations, Game Design, Video Game Development, Design, Technical Design, Conceptual Design, Design Elements And Principles, Creative Design, Storytelling
Beginner · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Systems, Mathematical Modeling, Numerical Analysis, Applied Mathematics, Python Programming, Process Optimization, Probability Distribution, Algorithms, Case Studies
Intermediate · Course · 1 - 3 Months

McMaster University
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies
Intermediate · Course · 1 - 3 Months
McMaster University
Skills you'll gain: Finance, Peer Review, Project Design, Business Mathematics, Market Dynamics, Financial Analysis, Financial Planning, Capital Markets, Economics, Decision Making
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months