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 Illinois Urbana-Champaign
Skills you'll gain: Business Workflow Analysis, Business Analysis, Analytics, Data Preprocessing, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Data Presentation, Business Solutions, Python Programming
★ 4.6 (325) · Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), NumPy, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Data Visualization, Statistical Visualization, Debugging, Data Presentation, Data Manipulation, Code Reusability, Object Oriented Programming (OOP), Python Programming, Simulations, Predictive Modeling, Data Analysis
★ 4 (101) · Beginner · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Policty Analysis, Research, and Development, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Literacy, Data Analysis, Tidyverse (R Package), R Programming, Statistical Methods, Case Studies, Political Sciences
★ 4.6 (121) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics
★ 3.8 (1.3K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Machine Learning Methods, Applied Machine Learning, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation
★ 4.8 (120) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)
★ 4.7 (371) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Code Reusability, Data Preprocessing, Data Wrangling, Package and Software Management, Data Analysis, Data Processing, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Exploratory Data Analysis, Computer Programming, Programming Principles, Data Storage, Computational Logic
★ 4.8 (145) · Beginner · Specialization · 3 - 6 Months

O.P. Jindal Global University
Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Classification And Regression Tree (CART), Probability, Big Data
Mixed · Course · 1 - 3 Months

École normale supérieure
Skills you'll gain: Sampling (Statistics), Mathematical Software, Physics, Simulations, Numerical Analysis, Markov Model, Mechanics, Simulation and Simulation Software, Algorithms, Programming Principles, Applied Mathematics, Integral Calculus, Model Optimization, Program Development
★ 4.8 (269) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, Predictive Modeling, Responsible AI, Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Autoencoders
★ 4.6 (271) · Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Processing, Data Wrangling, Data Integration, Data Preprocessing, Data Manipulation, Scatter Plots, NumPy, Data Quality, Exploratory Data Analysis, Data Import/Export, Histogram, Python Programming
★ 4.5 (431) · Beginner · Course · 1 - 4 Weeks
University of California San Diego
Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Usability, Statistical Programming, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Data Collection, Human Computer Interaction, Statistics, Data Validation, Statistical Modeling, Regression Analysis, Logistic Regression
★ 3.6 (596) · Intermediate · Course · 1 - 3 Months