TDWI Chicago

How To Choose Your Training

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Suggested Tracks

Need help deciding which progression of courses to take throughout the week? Click here for suggested schedules that may be of interest.

• BI, Analytics, and Literacy

• Data Science, Machine Learning, and AI

• Data Management and Governance

• Platforms and Architecture

• Strategy and Methods

BI Foundations

• TDWI Predictive Analytics Principles and Practices
• Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
• TDWI Information Dashboard Design: Dashboard Development and Performance Management

Data Literacy

• Visualizations that Make a Difference: Communicating Insights with Clarity and Impact
• TDWI Information Dashboard Design: Dashboard Development and Performance Management
• Data Storytelling for Business Impact

Analytics and ML Skills

• Decision Trees in Machine Learning: Building Explainable Models
• Predictive Modeling with Ensembles: Advanced Techniques for Deeper Insights
• Unsupervised Machine Learning: Preparing Data & Deploying Analytic Models for Clustering & Association

Data Science and AI Programs

• Data Science and Generative AI: Leveraging Best Practices and Avoiding Pitfalls
• Building Your Analytics Strategy for Data-Driven Results
• MLOps: Best Practices for Delivering and Managing Machine Learning

Hands-On Machine Learning and AI

• Machine Learning Bootcamp // Hands-On: Machine Learning with Python Made Easy - No, Really!
• Machine Learning Bootcamp // Hands-On: Data Wrangling for Machine Learning with Python

Data Governance and Quality

• Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
• Data Governance Processes: A Framework for Business Success
• Data Governance Bootcamp // TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement

Data Modeling and MDM

• Master Data Management: The Intersection of Architecture, Governance, and Process
• TDWI Dimensional Data Modeling Primer: From Requirements to Business Analysis
• Advanced Dimensional Modeling: Complete Tour of Modern Best Practices

Architecture and Planning

• How to Deliver Modern Data Architecture with Agile Processes
• Data Architecture Essentials: Building a Data Foundation for Enterprise Analytics
• Modern Data Engineering for Tomorrow's Enterprise Landscape

Technologies and Architecture

• Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale
• Is a Data Lakehouse in Your Future?
• Active Metadata for Data Fabric: Delivering Data Quality, Observability, and Trust
• TDWI Data Virtualization: Solving Complex Data Integration Challenges

Technology Hands-On

• Hands-On: Building a Data Warehouse and Analyzing Data the Google Cloud Way

Programs and Projects

• Data Monetization: Creating New Data-Driven Value Streams
• Data and Analytics Maturity and Organizational Benchmarking
• Data Architecture Essentials: Building a Data Foundation for Enterprise Analytics
• Teams and Technology: How Your Choices in Technology, Policy, Hiring, and Training Can Create a More Effective Analytics Culture

Data and Analytics Strategy

• Building Your Analytics Strategy for Data-Driven Results
• Becoming a Data-Driven Organization: How to Build a Growth-Driven Business Data Strategy
• Data Literacy: A Strategy for Building a Culture of Analytics

• Masterclasses
• The TDWI Difference
• Leader’s Summit

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