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.

Johns Hopkins University
Skills you'll gain: Epidemiology, Public Health, Data Presentation, Public Health and Disease Prevention, Trend Analysis, Geographic Information Systems, Health Policy, Data Visualization Software, Chronic Diseases, GIS Software, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Health Care, Health Disparities, Community Health, Data Analysis, Statistics
Beginner · Specialization · 3 - 6 Months

Georgia Institute of Technology
Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics
Intermediate · Course · 1 - 3 Months

University of Houston
Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Data Modeling, Relational Databases, Stored Procedure, Model Deployment, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, GitHub, Data Preprocessing, Data Cleansing, R (Software), Cloud Computing, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry
Mixed · Course · 1 - 3 Months

Skills you'll gain: Scatter Plots, Data Visualization, Regression Analysis, Excel Formulas, Microsoft Excel, Data Analysis, Descriptive Statistics, Data Visualization Software, Analytics, Statistical Analysis, Statistical Methods, Descriptive Analytics, Correlation Analysis, Statistics, Analysis, Exploratory Data Analysis, Pivot Tables And Charts, Trend Analysis
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, AI Workflows, Performance Tuning
Beginner · Course · 1 - 4 Weeks

The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation
Intermediate · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Data Management, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Data Analysis, Complex Problem Solving, Data Visualization
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Data Validation, Process Mapping, Descriptive Statistics, Statistics, Customer Insights, Statistical Analysis, Stakeholder Analysis
Build toward a degree
Beginner · Course · 1 - 4 Weeks