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.
Johns Hopkins University
Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Statistical Modeling, Predictive Modeling, Health Policy, Forecasting, Model Evaluation, Data Analysis, Statistics
Intermediate · Course · 1 - 4 Weeks

University of Florida
Skills you'll gain: Land Management, Environment and Resource Management, Climate Change Mitigation, Climate Change Adaptation, Natural Resource Management, Water Resource Management, Environmental Science, Sustainable Development, Spatial Analysis, Research Methodologies, Biology
Intermediate · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Research Design, Research Methodologies, Social Sciences, Research, Surveys, Qualitative Research, Statistical Analysis, Data Collection, Higher Education, Sample Size Determination, Ethical Standards And Conduct, Academic Advising, Probability & Statistics
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Correlation Analysis, Statistical Visualization, Descriptive Statistics, Statistical Analysis, Data Analysis, Box Plots, R (Software), Systems Of Measurement, Data Quality, Run Chart, Scatter Plots, Regression Analysis, Statistical Methods, Verification And Validation, Statistical Hypothesis Testing
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis
Beginner · Course · 1 - 3 Months

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

Coursera
Skills you'll gain: Prompt Engineering, ChatGPT, Data Validation, LLM Application, AI Product Strategy, Data Analysis, Applied Machine Learning, OpenAI, Data-Driven Decision-Making, Analytical Skills, Exploratory Data Analysis, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: ChatGPT, Responsible AI, Generative AI Agents, AI Enablement, Prompt Engineering, Business Process Automation, Productivity Software, Artificial Intelligence, Trend Analysis, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Bayesian Network, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms
Advanced · Specialization · 3 - 6 Months