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.

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Engineering Calculations, Applied Mathematics, Simulation and Simulation Software, Engineering, 3D Modeling, Thermal Management, Process Analysis, Scientific Visualization, Geometry, Star Schema, Environment
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Universitat Politècnica de València
Skills you'll gain: Integral Calculus, Calculus, Verification And Validation, Advanced Mathematics, Algebra, Trigonometry, Applied Mathematics
Beginner · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Cryptography, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Arithmetic, Computational Thinking, Public Key Cryptography Standards (PKCS), Data Structures, Applied Mathematics, Logical Reasoning, Deductive Reasoning
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms
Intermediate · Course · 1 - 4 Weeks