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.

Rice University
Skills you'll gain: Torque (Physics), Mechanics, Physics, Geometry, Algebra, Mechanical Engineering, Trigonometry, Calculus, Mathematical Modeling, Applied Mathematics, Problem Solving
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming
Intermediate · Course · 1 - 3 Months

Yonsei University
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, PostgreSQL, Network Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Systems Thinking, Epidemiology, Systems Analysis, Social Network Analysis, Simulations, Health Disparities, Network Analysis, Public Health, Policy Analysis, Social Determinants Of Health, Behavioral Health, Economics, Software Installation
Beginner · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Extract, Transform, Load, Decision Support Systems, Data Warehousing, Data Mining, Database Design, Business Intelligence, Dashboard, Star Schema, Relational Databases, Database Management, Data Visualization Software, Snowflake Schema, Data Visualization, Business Reporting, Database Management Systems, SAS (Software), Data Modeling, Interactive Data Visualization, SQL, Descriptive Statistics
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Model Deployment, Google Cloud Platform, Data Transformation, Dataflow, Extract, Transform, Load, Data Import/Export, Data Lakes, Feature Engineering, Data Pipelines, Real Time Data, Apache Kafka, Data Warehousing, Unstructured Data, Applied Machine Learning, Data Quality, Data Processing, Apache Spark, Dashboard, Big Data
Intermediate · Specialization · 3 - 6 Months
University of Pennsylvania
Skills you'll gain: Demography, Market Trend, Trend Analysis, International Relations, Socioeconomics, Global Marketing, Social Sciences, Systems Thinking, Cultural Diversity, Political Sciences, Financial Systems, Economics, Business Economics, Governance
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Scripting, Command-Line Interface, Performance Tuning, Programming Principles, Computer Architecture
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Derivatives, Credit Risk, Financial Market, Portfolio Risk, Capital Markets, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Operations Research, Mathematical Modeling, Probability Distribution, Applied Mathematics, Computer Programming
Intermediate · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks