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.

University of Michigan
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON
Intermediate · Course · 1 - 4 Weeks

Nanyang Technological University, Singapore
Skills you'll gain: Systems Thinking, Case Studies, Network Analysis, Mathematical Modeling, Simulations, Systems Engineering, Social Sciences, Applied Mathematics, Sustainable Systems, Policy Analysis, Forecasting, Critical Thinking, Jupyter
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Data Visualization, Scikit Learn (Machine Learning Library), Matplotlib, Data Literacy, Tableau Software, Data Presentation, Data Visualization Software, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Seaborn, Text Mining, Time Series Analysis and Forecasting, Data Preprocessing, SQL, Predictive Modeling, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

University of Alberta
Skills you'll gain: Scientific Methods, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Media and Communications, Correlation Analysis, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication
Beginner · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Statistical Analysis, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Mathematical Software, Computational Logic, Data Structures
Beginner · Specialization · 3 - 6 Months

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: electromagnetics, Electrical Engineering, Physics, Electrical Systems, Materials science, Applied Mathematics, Mechanics, Electronics, Engineering Analysis, Mathematical Modeling
Advanced · Course · 1 - 3 Months

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

Columbia University
Skills you'll gain: Derivatives, Mortgage Loans, Securities (Finance), Credit Risk, Financial Modeling, Risk Modeling, Financial Market, Mathematical Modeling, Securities Trading, Applied Mathematics, Investment Banking, Microsoft Excel, Risk Analysis, Cash Flows, Analysis
Intermediate · Course · 1 - 3 Months