Descriptive statistics courses can help you learn how to summarize data sets, calculate measures of central tendency, and assess variability. You can build skills in interpreting frequency distributions, creating visual data representations, and performing hypothesis testing. Many courses introduce tools like Excel, R, or Python for data analysis, allowing you to apply these skills in practical scenarios, such as analyzing survey results or evaluating experimental data.

Duke University
Skills you'll gain: Regression Analysis, Statistical Inference, Statistical Modeling, R Programming, Correlation Analysis, Statistical Analysis, Predictive Modeling, Data Analysis, Statistics, Exploratory Data Analysis, Model Evaluation
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Data Storytelling, Dashboard, Proposal Development, Key Performance Indicators (KPIs), Data Presentation, Tableau Software, Data Visualization, Data Mapping, Data Visualization Software, Interactive Data Visualization, Data Literacy, Exploratory Data Analysis, Graphing, Histogram, Scatter Plots, Tree Maps, Data-Driven Decision-Making, Statistical Visualization, Performance Analysis, Storyboarding
Beginner · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Cleansing, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: ArcGIS, Geographic Information Systems, Geospatial Information and Technology, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geospatial Mapping, Data Presentation, Data Sharing, Metadata Management, Heat Maps, Environmental Science, Public Health, Emergency Response, Image Analysis, Project Management, Data Visualization, Data Visualization Software, Data Quality
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Statistics, SQL
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Portfolio Risk, Investment Management, Risk Management, Financial Analysis, Risk Analysis, Portfolio Management, Financial Market, Investments, Return On Investment, Statistics
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Web Analytics, Customer Engagement, Campaign Management, Analysis, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications
Beginner · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Artificial Neural Networks, Probability & Statistics, Bayesian Statistics, Probability Distribution, Deep Learning, Machine Learning, Supervised Learning, Statistical Methods, Data Preprocessing, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization Software, Marketing Analytics, Key Performance Indicators (KPIs), Performance Measurement, Data Storytelling, Business Reporting, Trend Analysis, Grafana, Dashboard, Tableau Software, Performance Reporting, Power BI, Time Series Analysis and Forecasting, Descriptive Analytics, Data Sharing, Data Integration, Stakeholder Communications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)
Mixed · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology
Mixed · Course · 1 - 4 Weeks