Statistics Courses
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.
Popular Statistics Courses and Certifications
Multiple educators
Skills you'll gain: Dashboard Creation, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Analytical Skills, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis, Analytics, Data Transformation
Rice University
Skills you'll gain: Data Literacy, Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Statistical Methods, Microsoft Excel, Statistical Modeling, Data Analysis, Excel Formulas, Statistical Analysis, Descriptive Analytics, Box Plots, Sampling (Statistics), Statistical Inference, Correlation Analysis, Decision Making
Eindhoven University of Technology
Skills you'll gain: Science and Research, Scientific Methods, Research Design, Research, Quantitative Research, Research Methodologies, General Science and Research, Statistical Reporting, Sample Size Determination, Simulations, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing, Data Ethics, Computational Thinking, Data Synthesis, Probability & Statistics
Skills you'll gain: Sampling (Statistics), Plot (Graphics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Programming, Descriptive Analytics, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Data Science
Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science
Skills you'll gain: Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability, Python Programming
Skills you'll gain: Data Storytelling, Rmarkdown, Knitr, Data Visualization, Data Validation, Statistical Hypothesis Testing, Data Presentation, Dashboard, Data Synthesis, Dashboard Creation, Regression Analysis, Power BI, A/B Testing, Data Transformation, Market Research, Statistical Analysis, R Programming, Business Intelligence, Microsoft Excel, Surveys
Skills you'll gain: Statistical Hypothesis Testing, A/B Testing, Quantitative Research, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Software, Statistical Analysis, Statistical Reporting, Business Analytics, Probability & Statistics, Customer Insights, Statistical Inference, Analytics, Data Analysis, Data-Driven Marketing, Descriptive Statistics, Data Analysis Software, Spreadsheet Software
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Analysis, Experimentation, Research Design, Statistical Methods, Statistical Programming, Data Science, Data Analysis, R (Software), Predictive Modeling, Statistical Software, Predictive Analytics, Probability & Statistics, General Science and Research, Correlation Analysis
Coursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Sample Size Determination, Statistical Analysis, Statistical Reporting, Statistics, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Conversion Funnel Analysis, Business Analysis, Stakeholder Communications, Decision Making
In summary, here are 10 of our most popular statistics courses
- Data Science Foundations: IBM
- Introduction to Probability and Data with R: Duke University
- Linear Regression for Business Statistics: Rice University
- Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
- Improving Your Statistical Questions: Eindhoven University of Technology
- RStudio for Six Sigma - Basic Descriptive Statistics: Coursera
- Calculating Descriptive Statistics in R: Coursera
- Python and Statistics Foundations: Edureka
- Market Research Statistical Analysis & Data Visualization: Coursera
- Statistical Tests for Market Research: Coursera
