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: Natural Language Processing, Text Mining, Data Manipulation, Unstructured Data, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Feature Engineering, Algorithms, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Radio y Televisión Española
Skills you'll gain: digital literacy, Research, Investigation, Social Network Analysis, Trend Analysis, Verification And Validation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Microsoft Copilot, Microsoft Excel, Data Cleansing, Data Visualization Software, Spreadsheet Software, Trend Analysis, Forecasting, Data Manipulation, Sales, Data Analysis, Artificial Intelligence
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Descriptive Statistics, Data Mining, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, Case Report Forms, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Informed Consent, Data Manipulation, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Health Policy, Substance Abuse, Lawsuits, Litigation and Civil Justice, Epidemiology, Health Disparities, Regulatory Compliance, Policy Analysis, Public Health, Policy Development, Law, Regulation, and Compliance, Trend Analysis, Advocacy, Surveys
Beginner · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation, Influencing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

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

Vanderbilt University
Skills you'll gain: Statistical Methods, Statistical Analysis, Data Visualization, Generative AI, Statistical Hypothesis Testing, Data Presentation, Data Storytelling, Box Plots, Data Analysis, Plot (Graphics), Data-Driven Decision-Making, Statistics, Technical Communication, Statistical Inference, Graphing
Beginner · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
Beginner · Course · 1 - 3 Months