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TDWI San Diego 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, we have unfortunately decided to cancel TDWI San Diego 2020.

We truly appreciate your support during this difficult time. Our registration team will be in contact with individual registrants and sponsors directly. View our virtual learning options at tdwi.org/virtualtraining.

Course Description

DL3 Hands-on: Advanced Analytics for Everyone with Excel—Logistic Regression Made EasyNEW!

August 19, 2020

9:00 am - 5:30 pm

Duration: Full Day Course

Level: Intermediate to Advanced

Prerequisite: None

Caitlin Johnson

Data Scientist

Schedulicity

David Langer

VP of Analytics

Schedulicity

In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel. Logistic regression is the most common predictive model used to answer business questions like “how likely is a customer to churn?”

Excel provides all the functionality needed for crafting logistic regression models on par with models from programming languages like R and Python.

After learning about the types of business problems that might benefit from logistic regression analyses, we will teach you how logistic regression can answer interesting business questions such as:

  • Given a customer’s behavior, how likely are they to convert to paying?
  • What factors are most important in determining if a customer will churn?
  • Does the interaction of certain product characteristics affect the likelihood of a warranty claim?

Whether you are an Excel-based analyst looking to improve your skills or a manager interested in understanding the logistic regression models produced by analytics teams, this is the class for you.

Want to know the best part? No programming or difficult mathematics are required!

You Will Learn

  • The type of business problems where logistic regression can be useful
  • The basics of probabilities and odds ratios
  • Templates that streamline logistic regression analyses in Excel
  • Using Excel’s Solver to train simple logistic regression models
  • Using Excel’s Solver to train multiple logistic regression models
  • Interpreting logistic regression models in terms of business drivers
  • Evaluating the effectiveness of your logistic regression models
  • How to communicate your insights effectively
  • Additional resources to extend your learning

Geared To

  • Business/data analysts
  • Database developers
  • BI/report developers
  • Managers
  • Anyone interested in using logistic regression for analyzing business data

No skills in programming or statistics are required.

Lab Setup

Participants should download and install the following prior to the event:

Microsoft Excel 2016 or later

Instructions will be emailed to registrants prior to the event to prepare your laptop BEFORE the conference. There is no time allotted in class for laptop preparation.