By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

TDWI Chicago Update

At TDWI, we have been working hard to navigate this ever-changing landscape in the face of COVID-19, and we want to assure you that the health and well-being of our employees, customers, and vendor partners is our top priority. Therefore, due to the growing concern around the coronavirus (COVID-19), and in alignment with the guidelines laid out by the CDC and WHO, we have decided to merge this year’s TDWI Chicago Conference (May 10-15) with TDWI Orlando 2020 (November 8-13), where it can be a successful experience for everyone. The Chicago 2020 agenda will be replicated at TDWI Orlando 2020.

Our registration team will be in contact with individual registrants and sponsors directly.

Course Description

DS3 Data Science Bootcamp // Modeling Your Data: Building and Assessing Models

May 12, 2020

8:00 am - 11:15 am

Duration: Half Day Course

Level: Beginner to Intermediate

Prerequisite: None

Dean Abbott

Co-Founder/Chief Data Scientist

Smarter HQ, Inc.

This half-day Data Science Bootcamp is designed for participants seeking data science skills, who are eager to expand their knowledge through building and evaluating predictive models. During this session, participants will obtain practical strategies associated with the growing discipline of data science and will cover data science processes using a variety of data analysis tools to discover patterns and relationships in data.

Participants will also learn the critical data science techniques and tools that enable discovery of accurate and actionable insights. This practical session emphasizes key predictive modelling techniques, such as classification, regression, and clustering.

You Will Learn

  • Essential skills to design, build, test, and evaluate predictive models
  • How to conquer technical data science obstacles
  • Ways to match appropriate predictive modeling methods to particular project types
  • Methods for applying data science algorithms to real data and interpreting the results
  • Resources, skills, and plans that you can take with you to apply to your next data science project

Geared to

  • Analytics practitioners; data scientists; IT professionals; business analysts; analytics project leaders, technical managers, scientist, and engineers