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.

Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Probability Distribution
Beginner · Course · 1 - 4 Weeks
University of Minnesota
Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Machine Learning Algorithms, Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sample Size Determination, Sampling (Statistics), Data Analysis, Statistics, Statistical Analysis
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Health Systems, Managed Care, Patient-centered Care, Healthcare Industry Knowledge, Medicaid, Health Care Administration, Health Care, Primary Care, Medicare, Health Policy, Health Disparities, Health Equity, Cultural Diversity, Telehealth, Economics, Trend Analysis
Beginner · Course · 1 - 4 Weeks

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

University of Colorado Boulder
Skills you'll gain: Semiconductors, Advanced Mathematics, Materials science, Physics, Physical Science, Mathematical Modeling
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Exploratory Data Analysis, Regression Analysis, Data Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation
Intermediate · Course · 1 - 4 Weeks

American Psychological Association
Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Analysis, Statistical Methods, Statistical Inference, Analytical Skills, Statistics, Psychology, Regression Analysis, Research
Beginner · Course · 1 - 3 Months

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

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

Johns Hopkins University
Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference
Mixed · Course · 1 - 4 Weeks