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.

Arizona State University
Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Analysis, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Physics, Physical Science, Materials science, Chemistry, Energy and Utilities, Advanced Mathematics, Mathematical Modeling, electromagnetics, Applied Mathematics, Calculus
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Research Design, Model Evaluation, Data Transformation, Statistical Analysis, Data Modeling, Statistical Methods
Beginner · Course · 1 - 4 Weeks

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

Packt
Skills you'll gain: Alteryx, Spatial Analysis, Data Cleansing, Data Import/Export, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Preprocessing, Data Integration, Data Transformation, Data Analysis, Microsoft Excel, Text Mining, Data Visualization Software, Excel Formulas
Beginner · Course · 3 - 6 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Program Development, Artificial Intelligence, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Technical Writing
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Investment Management, Investments, Market Data, Statistical Machine Learning, Financial Analysis, Model Evaluation, Machine Learning, Classification Algorithms, Trend Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Technical Management, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Model Evaluation, Performance Tuning, Test Data
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Preprocessing, Statistical Programming, Text Mining
Mixed · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Mixed · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming
Beginner · Course · 1 - 4 Weeks