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.

King Abdullah University of Science and Technology
Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management, Project Documentation
Advanced · Course · 1 - 4 Weeks
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: Exploratory Data Analysis, Dashboard, Data Visualization Software, Plotly, Data Visualization, Model Evaluation, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Matplotlib, Pandas (Python Package), Data Presentation, Data Science, Data Import/Export, Programming Principles, Web Scraping, Python Programming, Machine Learning
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Edureka
Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Data Visualization, Text Mining, Social Network Analysis, Statistical Analysis, Data Visualization Software, Case Studies, Application Programming Interface (API), Unstructured Data, Data Analysis, R Programming, Statistical Methods, Correlation Analysis, Regression Analysis, Data Collection, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
Advanced · Course · 1 - 3 Months