Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.

Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Data-Driven Decision-Making, Data Analysis, Data Presentation, Statistical Analysis, Microsoft Excel, Exploratory Data Analysis, Probability & Statistics, Decision Making, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

University of Amsterdam
Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Epidemiology, Public Health, Social Determinants Of Health, Biostatistics, Health Equity, Medical Records, Demography, Vital Signs, Health Policy, Health Information Management, Data Collection
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Dashboard, Data Warehousing, SQL, Data Presentation, Data Visualization, Interactive Data Visualization, Data Security, Data Migration, Database Design, Data Governance, MySQL, Data Store, Data Management, Relational Databases, Databases, Exploratory Data Analysis, Data Architecture, Excel Formulas, Business Intelligence
Beginner · Professional Certificate · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Data Storytelling, Marketing Analytics, Keyword Research, Email Marketing, Customer experience strategy (CX), Case Studies, Strategic Communication, Search Engine Marketing, Marketing Communications, Digital Marketing, Analytics, Digital Media Strategy, Campaign Management, Business Analytics, Content Marketing, Marketing Management, Marketing, Web Analytics, Data Analysis, Data Visualization
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Dashboard, Data Wrangling, Exploratory Data Analysis, Relational Databases, Data Analysis, Statistical Visualization, Big Data, Microsoft Excel, IBM Cognos Analytics, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping
Build toward a degree
Beginner · Professional Certificate · 3 - 6 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
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data
Mixed · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks