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.

Microsoft
Skills you'll gain: Debugging, Event-Driven Programming, Version Control, Application Deployment, Microsoft Copilot, C# (Programming Language), Git (Version Control System), Object Oriented Programming (OOP), Software Design Patterns, Software Architecture, .NET Framework, Microsoft Visual Studio, Software Design, Software Testing, Application Development, Secure Coding, User Interface (UI), Integrated Development Environments, Software Development Tools, AI Workflows
Beginner · Professional Certificate · 3 - 6 Months

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Health Technology, Analytics, Data Preprocessing, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Artificial Intelligence, Social Determinants Of Health, Home Health Care, Generative AI, Business Process Improvement
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Preprocessing, Workflow Management, Data Literacy, Project Schedules, Data Visualization, Scheduling, Data Analysis Expressions (DAX), Automation, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Extract, Transform, Load, Data Pipelines, Data Processing
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Target Audience, Social Media Marketing, Social Media Campaigns, Online Advertising, Social Media, Web Analytics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: SQL, Star Schema, Data Modeling, Data Quality, Data Pipelines, Database Design, Data Mart, Data Validation, Extract, Transform, Load, Data Analysis, Data Warehousing, Data Transformation, Data Management, Version Control
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Preprocessing, Statistical Programming, Text Mining
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: MySQL, MySQL Workbench, SQL, Data Manipulation, Database Management, Query Languages
Intermediate · Guided Project · Less Than 2 Hours