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.

Coursera
Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

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

University of California, Irvine
Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Classification And Regression Tree (CART), Fraud detection, Machine Learning, Correlation Analysis, Scatter Plots, Market Analysis, Supervised Learning, Cross Selling
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Scikit Learn (Machine Learning Library), Supervised Learning, Climate Change Mitigation, Environment, Public Policies
Intermediate · Specialization · 1 - 3 Months

University of London
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Debugging, Test Data, Data Validation, Algorithms, Unit Testing, Test Case, Data Structures
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Data Wrangling, R (Software), Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, File Management, Data Visualization, Data Import/Export
Beginner · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Plot (Graphics), Matplotlib, Forecasting, Predictive Modeling, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Scikit Learn (Machine Learning Library), Retail Store Operations, Machine Learning, Histogram, Decision Tree Learning, Pandas (Python Package), Jupyter, Matplotlib
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Strategy, Data Analysis, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Process Analysis, Data Collection, Project Scoping, Performance Measurement, Customer experience improvement, Quality Improvement, Quality Control
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Analysis, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Data Science, Data Strategy, Supervised Learning, Data Processing, Performance Tuning, MLOps (Machine Learning Operations), Dataflow, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months