| | | | |Super Early Bird Deadline: December 14, 2018Save up to $915 with code KD20 | | | | | | |Transformation happens when you can understand and leverage your company’s data, allowing you to move forward with plans that deliver results. At TDWI we understand your need for the most up-to-date data skills, and we’re here to provide the knowledge and insight that will drive success. |
Whether you’re building an architecture to support self-service or advanced analytics, developing dashboards, delivering ROI from analytics, or leveraging the capabilities of machine learning and AI, TDWI Las Vegas will ensure you leave equipped for success.
Data Infrastructures for Analytics | ||
- Learn the top techniques for addressing emerging challenges in implementation and data management for multiplatform data architectures. - Topics to be covered include data lakes, the cloud, logical data warehouses, data governance, and self-service architectures. | ||
Communicating Analytics Insights | ||
- Discover the most important skills for creating meaningful and impactful insights with your data. Drive business decisions, validate direction, and prove the value of your analytics initiatives with courses in this track. - Topics to be covered include dashboard development, data visualization standards, data storytelling, business analytics, and how to become a data interpreter. | ||
Advanced Analytics | ||
- Find out how to successfully implement advanced analytics, move from post hoc analysis to machine learning, and utilize advanced analytics, including artificial intelligence, within your organization. - Topics to be covered include machine learning, Python, R, artificial intelligence, and a two-day data science bootcamp. | ||
Leading with Analytics | ||
- Explore how to build an analytically driven organization that supports data insights across the enterprise with this set of courses. Learn to identify key success factors, embrace data management best practices, and thrive in the age of digital transformation. - Topics to be covered include data strategy, uniting business and data strategy, becoming analytically driven, and preparing for and embracing digital transformation. | ||