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 Colorado Boulder
Skills you'll gain: Presentations, Peer Review, Business Writing, Project Design, Graphic Design, Concision, Oral Expression, Graphic and Visual Design, Writing, Constructive Feedback, Branding, Communication, Public Speaking, Business Communication, Verbal Communication Skills, Professional Development, Design Strategies
★ 4.7 (176) · Beginner · Course · 1 - 3 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: 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

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

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

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

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

Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning
★ 4.5 (331) · Intermediate · Course · 1 - 4 Weeks
Emory University
Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Data-Driven Marketing, Microsoft Excel, Customer Insights, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Excel Formulas, Statistical Visualization, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Methods, Data Manipulation, Data Transformation
★ 4.3 (292) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Process Controls, Data Literacy, Statistical Software, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Analytical Skills, SAS (Software), Data Visualization
★ 4.8 (101) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Transformation, Model Evaluation, Unsupervised Learning, Dimensionality Reduction
★ 4.5 (145) · Intermediate · Course · 1 - 4 Weeks