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.

Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Presentation, Exploratory Data Analysis, Vector Databases, Data Mapping, Data Access
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Modeling, Statistical Analysis, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Correlation Analysis, Process Improvement, Sampling (Statistics), Project Management, Data Literacy, Regression Analysis, Process Capability, Goal Setting, Statistical Analysis, Scatter Plots, Customer experience improvement, Quality Management, Microsoft Excel, Process Mapping, Risk Management, Root Cause Analysis
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Trustworthiness, Compassion, Ethical Standards And Conduct, Optimism, Positivity, Growth Mindedness, Resilience, Self-Awareness
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Ethics, Dashboard, Power BI, Business Intelligence, Interactive Data Visualization, Data Presentation, Data Visualization, Data Storytelling, Data Visualization Software, Data-Driven Decision-Making, Business Reporting, Business Analytics, Data Analysis Expressions (DAX), Data Security, Data Management, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis, Performance Tuning
Beginner · Course · 1 - 3 Months
University of Toronto
Skills you'll gain: Scientific Visualization, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Visualization (Computer Graphics), R (Software), Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Exploratory Data Analysis, Heat Maps, Molecular Biology, Design Thinking
Intermediate · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Social Sciences, Economics, Policy, and Social Studies, Socioeconomics, World History, Sociology, Trend Analysis, Data Analysis, Big Data, Research, Higher Education, Political Sciences, Case Studies
Mixed · Course · 1 - 3 Months

Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

L&T EduTech
Skills you'll gain: Construction Engineering, Geospatial Mapping, Geospatial Information and Technology, Geographic Information Systems, Spatial Data Analysis, Construction, Construction Management, Visualization (Computer Graphics), Civil and Architectural Engineering, Spatial Analysis, Global Positioning Systems, GIS Software, Survey Creation, AutoCAD Civil 3D, Building Information Modeling, 3D Modeling, Data Import/Export
Intermediate · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks