Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

University of Colorado Boulder
Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Collection, Data Manipulation, Application Programming Interface (API)
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Retail Management, Case Studies, Retail Store Operations, Competitive Analysis, Market Analysis, Strategic Planning, Market Intelligence, Business Strategy, Business, Business Management, Organizational Strategy, Analysis, Geographic Information Systems
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Tecnológico de Monterrey
Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Tableau Software, Data Visualization Software, Data-Driven Decision-Making, Interactive Data Visualization, Dashboard, Plotly, Business Intelligence, Exploratory Data Analysis, Data Modeling
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Deployment, Performance Testing, Android Development, Transfer Learning, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Hardware Architecture, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence
Beginner · Project · Less Than 2 Hours

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months