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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

TH4 Hands-on: Data Science in TableauEXPANDED!

May 14, 2020

9:00 am - 5:00 pm

Duration: Full Day Course

Level: Beginner to Intermediate

Prerequisite: The course assumes that the attendee has some experience with Tableau and programming languages.

Deanne Larson, Ph.D.

DM, CBIP

President

Larson & Associates

Tableau is a leading visualization and analysis tool that can be leveraged in multiple stages of data exploration and data science processes. Data analysts and data scientists often use Tableau in the data understanding and preparation phases of their analytics activities and also use it to evaluate machine learning models.

This session will explore how Tableau is used in these data analysis phases. This session will also explore integration with R and Python to expedite the data science process.

You Will Learn

  • How to leverage Tableau for data exploration to include hierarchies, cross tabs, parameters, filters, level of detail, table calculations, and interactive dashboards
  • How to leverage time series analysis in Tableau
  • How to use clustering visualization in Tableau
  • How to use script operators to integrate with R
  • How to use script operators to integrate with Python
  • How to integrate Tableau with R and Python to visualize prediction results

Geared To

  • Data analysts
  • Data scientists
  • Business analysts
  • Project managers
  • Project leaders

Laptop Setup

Students must bring their own laptop to the class.

Laptop setup is required BEFORE the conference. Instructions will be emailed to registrants prior to the event.

There is no time allotted in class for laptop preparation.