Regression analysis courses can help you learn statistical modeling, hypothesis testing, and data interpretation. You can build skills in understanding relationships between variables, making predictions, and assessing model accuracy. Many courses introduce tools like R, Python, and Excel, which are commonly used for performing regression analysis and visualizing data trends.

Pragmatic AI Labs
Skills you'll gain: AI Security, Code Review, Secure Coding, Microsoft Copilot, Anthropic Claude, Security Testing, Prompt Patterns, LLM Application, OpenAI API, Generative AI, Large Language Modeling, Open Web Application Security Project (OWASP), Verification And Validation, AI Workflows, Generative AI Agents, Responsible AI, Vulnerability Scanning, AI Enablement, Prompt Engineering, GitHub
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Transformation, Real Time Data, Data Pipelines, Power BI, Data Quality, Dashboard, PySpark, Business Intelligence, Data Integrity, Data Governance, CI/CD, Data Validation, Data Visualization, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Strategic Sourcing, Case Studies, Supplier Management, Workflow Management, Procurement, Vendor Management, Vendor Relationship Management, Business Reporting, Risk Analysis, Analysis, Data-Driven Decision-Making, Business Metrics, Data Analysis, Decision Making, Environmental Social And Corporate Governance (ESG), Negotiation, Statistical Modeling, Data Visualization, Communication
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Anomaly Detection, Real Time Data, Data Analysis, Data Visualization Software, Analytics, Dashboard, Security Information and Event Management (SIEM), System Configuration, Data Processing, Data Cleansing, Data Import/Export, Statistical Analysis, Software Installation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Verification And Validation, Reconciliation, Debugging, Auditing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), Application Deployment, Server Side, Application Lifecycle Management, Authentications, User Interface (UI) Design, Interactive Design, Business Logic, Application Design, Application Development, Dashboard, Security Controls, Web Applications, R (Software)
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Supply And Demand, Economics, Market Dynamics, Behavioral Economics, Resource Allocation, Socioeconomics, Consumer Behaviour, Cost Benefit Analysis, Decision Making, Critical Thinking
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Maintenance, Key Performance Indicators (KPIs), Performance Analysis, Performance Measurement, Gap Analysis, Business Planning, Variance Analysis, Business Strategy, Market Opportunities, Business Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Social Media Campaigns, Social Media Marketing, Social Media Strategy, AI Personalization, Real Time Data, Marketing Analytics, Customer Insights, AI Enablement, Target Audience, Marketing Strategies, Driving engagement, Marketing Automation, A/B Testing, Content Creation, Persona Development, Generative AI, Brand Strategy, Data-Driven Decision-Making, Trend Analysis
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Database Design, Business Intelligence, Data Warehousing, Decision Support Systems, Relational Databases, Data Visualization, Data Modeling, Performance Measurement, Database Management Systems, Database Management, Dashboard, SQL, Star Schema, Operational Performance Management, Data Governance, Oracle Databases, Data Integration, MicroStrategy, Extract, Transform, Load, Business Analytics
Advanced · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Data Integration, Apache Kafka, Restful API, Data Infrastructure, Enterprise Security, Data Pipelines, Relational Databases, Databases, Real Time Data, Database Systems, Authentications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation
Advanced · Course · 1 - 3 Months