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TDWI Chicago, May 8-13, has been postponed.

We will now be delivering this conference program at TDWI San Diego, August 7–12, 2022. The conference site will be live soon! Sign up for email updates below. Register here.

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Course Description

F4 Preparing Your Company for Effective Data Science: A Proven Framework

May 13, 2022

8:00 am - 3:30 pm

Duration: Full Day Course

Level: Intermediate to Advanced

Prerequisite: None

Zank Bennett


Bennett Data Science

Data science has been called the single biggest technology revolution the world has ever seen. There’s no questioning the need for effective data science, but many organizations struggle to realize the desired ROI. It's tough to hire, manage, and align good analytics professionals within an organization. Despite these challenges, many companies successfully use data science to understand their customers better, personalize their offerings, and drive increased revenue.

This highly accessible course will show you how to build, position, and manage an effective data science team. You’ll leave with a framework, outlining proven steps for success and pitfalls to avoid. You’ll also learn how to set the most important objectives when approaching data science projects. Whether you’re building a new analytics team or hoping to make your current team more efficient, this course will provide you with a proven method for success.

You Will Learn

  • How to build an effective data science team
  • How to position your data science team for success within your company
  • Proven techniques for nontechnical communication with data scientists
  • How to retain data scientists through engagement and mentorship
  • A blueprint for running effective data science projects from ideation to deployment
  • The importance of objectives and how to measure them
  • How to start simply and why doing so is the key to success
  • How data scientists work differently with data than you’re probably used to
  • What data science models actually are and why that’s so important

Geared To

  • C-suite executives
  • Founders
  • Executive staff
  • Data science management
  • Front-line managers who want to make better use of data-driven methodologies

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