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: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Cyber Threat Intelligence, MITRE ATT&CK Framework, Hardening, Cyber Threat Hunting, Operating System Administration, Threat Modeling, Exploitation techniques, Linux Commands, Intrusion Detection and Prevention, Cyber Operations, Linux, Cybersecurity, Cyber Security Strategy, Network Security, Network Monitoring, Operating Systems, Cyber Attacks, Cyber Engineering, Network Administration, Security Awareness
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Email Automation
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Intermediate · Course · 1 - 4 Weeks
Emory University
Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Model Evaluation, Business Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Marketing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Model Deployment, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Feature Engineering, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Quality, Data Manipulation, Performance Metric, Technical Communication
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Stored Procedure, MySQL Workbench, SQL, Data Cleansing, Data-Driven Decision-Making, MySQL, Exploratory Data Analysis, Database Design, Data Presentation, Data Manipulation, Data Integration, Relational Databases, Database Management, Business Reporting, Query Languages, Report Writing, Performance Reporting, GitHub, Performance Tuning, Jupyter
Beginner · Specialization · 3 - 6 Months

Universidade Estadual de Campinas
Skills you'll gain: Oral Comprehension, Language Competency, Cultural Sensitivity, Cultural Diversity, Literacy, Vocabulary, Culture, Language Learning, Multilingualism, Grammar
Advanced · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Feature Engineering, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Data Analysis, Analytics, HR Tech, Trend Analysis, Correlation Analysis, Data-Driven Decision-Making, R Programming, Data Preprocessing, Data Cleansing
Beginner · Course · 1 - 4 Weeks

University of California, Santa Barbara
Skills you'll gain: Balance Sheet, Depreciation, Financial Reporting, Financial Accounting, Financial Statements, Technical Accounting, Generally Accepted Accounting Principles (GAAP), Capital Expenditure, Equities, Accrual Accounting, Fixed Asset, Finance, Accounts Receivable, Analysis, Estimation, Corporate Finance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms
Mixed · Course · 1 - 3 Months