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.

Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Beginner · Specialization · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Data Visualization, Scikit Learn (Machine Learning Library), Matplotlib, Data Literacy, Tableau Software, Data Presentation, Data Visualization Software, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Seaborn, Text Mining, Time Series Analysis and Forecasting, Data Preprocessing, SQL, Predictive Modeling, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: NumPy, Pandas (Python Package), Model Evaluation, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Data Manipulation, Matplotlib, Business Analytics, Exploratory Data Analysis, Data Visualization Software, Python Programming, Descriptive Statistics, Linear Algebra
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Decision Tree Learning, Supervised Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Random Forest Algorithm, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Performance Tuning, Classification Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Data Presentation, Business Metrics, Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Python Programming, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization
Mixed · 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 Preprocessing, Data Manipulation, Scatter Plots, NumPy, Exploratory Data Analysis, Jupyter, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Data Ethics, Tableau Software, Data Analysis, Data Cleansing, Data Manipulation, Data Transformation, Data Preprocessing, Pandas (Python Package), Technical Communication, Data Quality, Data Validation, Python Programming
Advanced · Course · 1 - 3 Months

Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks