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.

Coursera
Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Data Integrity
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Systems Design, Software Architecture, Data Processing, Process Modeling, Code Reusability, Solution Design, Diagram Design, Process Mapping, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Exploratory Data Analysis, Decision Making, Data Strategy, Complex Problem Solving, Design Thinking, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Data Management, Process Improvement, Organizational Effectiveness, Solution Design, Needs Assessment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SketchUp (3D Modeling Software), Spatial Data Analysis, Architectural Drawing, Geospatial Mapping, Spatial Analysis, AutoCAD, Visualization (Computer Graphics), Data Mapping, Graphic and Visual Design, 3D Modeling, Technical Communication, Color Theory, Microsoft Office
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Modeling, Data Validation, Media Planning, Variance Analysis, Regression Analysis, Predictive Analytics, Predictive Modeling, Web Analytics, Forecasting, Trend Analysis, Marketing Analytics, Marketing Budgets, Analytics, Data-Driven Decision-Making, Data Quality, Campaign Planning, Data Integrity
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, AI Integrations, Data Governance, Model Deployment, AI Product Strategy, Semiconductors, Data Science, Model Training, Statistical Process Controls, Predictive Modeling, Applied Machine Learning, Model Evaluation, Data Quality, Anomaly Detection, Machine Learning, Machine Learning Methods, Random Forest Algorithm, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Securities (Finance), Market Dynamics, Cash Management, Fund Accounting
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Transfer Learning, Small Data, Fine-tuning, Deep Learning, Applied Machine Learning, Machine Learning Methods, Model Training, Unsupervised Learning, Machine Learning, Data Synthesis, Supervised Learning
Mixed · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Scientific Visualization, Machine Learning, Model Training, Statistical Machine Learning, Data Mining, Statistical Methods, Algorithms, Python Programming, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sample Size Determination, Data Strategy, Sampling (Statistics), Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Maintainability, Research and Design, Version Control, Software Documentation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization Software, Data Wrangling, Dashboard Creation, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Dataflow, Data Analysis, Sampling (Statistics), Course Development
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Transfer Learning, Generative Model Architectures, Applied Machine Learning, Text Mining, Fine-tuning, Deep Learning
Advanced · Course · 1 - 4 Weeks