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: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Wrangling, Data Processing, Data Preprocessing, Workflow Management, Email Automation, Data Literacy, Scheduling, Automation, Exploratory Data Analysis
★ 4.1 (7) · Intermediate · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Data Integration, R (Software), Data Synthesis, Data Ethics, R Programming, Informed Consent, Data Sharing, Statistical Methods, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Logistic Regression, Information Privacy
Mixed · Course · 1 - 4 Weeks

Radio y Televisión Española
Skills you'll gain: Image Analysis, digital literacy, Research, Investigation, Digital Forensics, Trend Analysis, Verification And Validation, Authentications
★ 4.8 (10) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Dashboard Creation, Kibana, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, System Monitoring, Data Presentation, Data Visualization Software, Web Analytics, Exploratory Data Analysis, Trend Analysis, Decision Support Systems, Data Analysis, Automation, Business Intelligence, IT Automation, Content Performance Analysis, Data Wrangling, Data Science
★ 4.8 (13) · Beginner · Specialization · 1 - 4 Weeks

Coursera
Skills you'll gain: Facebook, Meta Ads Manager, Conversion Funnel Analysis, Online Advertising, Web Analytics, Digital Advertising, User Accounts
★ 4.1 (7) · Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Wrangling, Data Processing, Data Cleansing, Statistical Methods, Python Programming, Statistical Analysis, Numerical Analysis, Data Analysis, Descriptive Statistics
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Science, Data Literacy, Organizational Effectiveness, Project Design, Statistics, Machine Learning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Descriptive Statistics, Pandas (Python Package), Data Visualization, Plot (Graphics), Analysis, Histogram, Statistical Analysis, Python Programming, Software Installation
★ 4.8 (6) · Intermediate · Guided Project · Less Than 2 Hours

Rice University
Skills you'll gain: Timelines, Ancient History, Scientific Methods, World History, Anthropology, Science and Research, General Science and Research, Environmental Science, Investigation, Social Sciences, Spatial Analysis, Spatial Data Analysis, Research, Culture, Geospatial Information and Technology, Data Collection, Biology
★ 4.3 (6) · Beginner · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Health Equity, Health Disparities, Health Systems, Public Health, Social Determinants Of Health, Healthcare Ethics, Health Policy, Data Analysis, Data Ethics, Substance Abuse, Correlation Analysis, Heat Maps, Community Mental Health Services, Data Visualization, Health Informatics, Trauma Care, Mental Health
★ 5 (6) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy
★ 4.4 (17) · Mixed · Course · 1 - 4 Weeks