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TDWI Data Science Bootcamp

A TDWI Certificate Track

Virtual Classroom
August 26–28, 2024
9:00am – 5:00pm CT

Deanne Larson, Ph.D.

Deanne Larson, Ph.D.

Larson & Associates

Learn how to unlock powerful business insights through data science.

Geared to both technical and non-technical personnel, TDWI’s Data Science Bootcamp provides a comprehensive overview of every facet of a data science program, providing principles and practices for business stakeholders and data scientists to drive business value from data through machine learning and AI.

Our expert instructor will teach you how data programs are organized, how data science projects target business challenges, and the key roles and stages of a data science project. You will learn principles for establishing business and analytics objectives, sourcing and preparing data for analytics, developing and validating analytic models, communicating results, and operationalizing production analytics. You will also learn how DataOps and MLOps programs enable agile and repeatable processes so the benefits of data science can expand across your entire business.

Join the thousands who have already completed the TDWI Data Science Bootcamp.

Attend all three days and earn a certificate.

  • Monday, August 26

    Data Science Processes and Data Preparation

    View Full Course Abstract

    Data science has been called “the sexiest job of the 21st century” and with good reason—the size and breadth of our data is growing exponentially, and businesses are leveraging advances in machine learning and AI capabilities to make sense of it all for competitive advantage. This course provides a complete overview of the data science process and drills into detail on key tasks that occur before analytic model building begins.

  • Tuesday, August 27

    Building Analytic Models and Communicating Results

    View Full Course Abstract

    At the heart of the data science process is the analytic model, which provides deep insights that improve decision-making and deliver business value from data. Day 2 of the Data Science Bootcamp provides an overview of the practices that data scientists use to build, validate, and deploy these machine learning and AI models, and teaches students how to communicate analytics-driven insights to others.

  • Wednesday, August 28

    DataOps and MLOps Principles and Practices

    View Full Course Abstract

    As enterprise demand for advanced analytics, machine learning, and AI grows, data and analytics professionals struggle to keep pace. Consistent delivery of modern analytics requires an approach that is agile, repeatable, and scalable. In this course, you will learn how the DataOps and MLOps methods for delivering data and analytics meet this challenge, providing a mechanism for rapid and repeatable delivery of data and analytics that is scalable and manageable, while also living up to business expectations.

Pricing Select Courses, View Pricing

  3-Day Training 2-Day Training 1-Day Training
Super Early Bird Discount Save 20% by Jun 28 $1,840 $1,465 $835
Early Bird Discount Save 10% by Jul 26
 $2,070 $1,650 $935
Regular Registration Jul 27 - Aug 23 $2,300 $1,830 $1,040

Discounts

  • Early Bird Discounts

    Receive a 20% discount if you register by Jun 28.
    Receive a 10% discount if you register by Jul 26.

  • Member Discount

    Receive a 10% discount on your registration. Membership status will be validated when your registration is processed.

  • Team Discounts

    Teams of 3–9 people save 10% by using code TEAM. Groups of 10 or more will save 20% with code TEAM20.

REFUND AND CANCELLATION: You may substitute one person in your place by contacting registration@tdwi.org at least five business days prior to the event. If you must cancel all or part of your registration, your refund request must be sent to registration@tdwi.org no later than August 9, 2024. Your fee will be returned, less a 20% cancellation fee. No refunds will be issued after August 9, 2024.

Reserve your spot at the seminar today!

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TDWI Data Science Bootcamp

August 26–28, 2024