In-Depth Training for the Future of Data – TDWI Orlando Agenda Now Live

TDWI Orlando, Nov 11-16, provides you with the skills and best practices you need to advance your data management and analytics initiatives now. The agenda is now live! Save big with code KD20.

A November to Remember

Super Early Bird Deadline: September 14
Save up to $915 with code KD20

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Look into the Future of Data

This November, look ahead to what the future holds for analytics and data management. Join us in Orlando for the last training conference of the year, featuring new courses on the hottest topics, including blockchain, machine learning, data lakes, artificial intelligence, and dashboard design.

Data is your most valuable asset—it’s time to use it to its full potential. TDWI Orlando provides you with the skills and best practices you need to advance your data management and analytics initiatives now. The agenda is now live!

Find the courses you need to grow your skill set and move your projects forward.

NEW at TDWI Orlando

Machine Learning & AI Day

There is so much noise around artificial intelligence (AI), with leading-edge companies showcasing amazing breakthroughs leveraging the technologies. But how can AI actually apply to you? How can AI drive competitive advantage within your organization?

Cut through the hype and learn pragmatic applications of AI across major industries by spending a day focusing on the realities and practice of AI in the enterprise.

Hands-On Training

TDWI's Hands-on Lab series brings together practical, in-depth training on today's most popular programming languages and technologies. Each provides a solid framework for understanding and applying your new skills immediately. In addition to hands-on courses in Hadoop, Python, and R, we’ve added new courses:

Hands-on Technical Workshop: Integrating Algorithmic Layers: Turning Raw Data into Actionable Insights
Hands-on Introduction to Machine Learning with Python, Pandas, Matplotlib, and Scikit-Learn

Architecting Data for Self-Service

While data self-service is a top-of-mind discussion topic, most data infrastructure isn’t ready to deliver data that’s ready for use by the average staff member. In this new session, Evan Levy will discuss the architectural framework and the roles and responsibilities necessary to deliver self-service data.