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.

University of Lausanne
Skills you'll gain: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Plot (Graphics), Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Google Ads, Advertising Campaigns, Search Engine Marketing, Pay Per Click Advertising, Performance Analysis, Performance marketing, Bidding, Campaign Management, Online Advertising, Digital Advertising, Web Analytics, Advertising, Performance Metric, Keyword Research, Key Performance Indicators (KPIs), Target Audience, Performance Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Data Processing, Data Analysis, Regression Analysis, SPSS, Marketing Analytics, Market Research, Business Intelligence, Statistical Analysis, Data Mining, Data-Driven Decision-Making, Statistical Methods, Exploratory Data Analysis, Market Analysis, Consumer Behaviour, Microsoft Excel
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Data Preprocessing, Cloud Deployment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Risk Modeling, Regression Analysis, Statistical Methods, Financial Modeling, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Quantitative Research, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis
Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks