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LinkedIn Learning

Alteryx for Financial Services

via LinkedIn Learning

Overview

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Get an overview of how to utilize the no-code/low-code Alteryx data analysis software in financial services.

Syllabus

Introduction
  • Alteryx overview
1. Getting Started with Alteryx
  • Data analysis with Alteryx
  • Working with Alteryx
  • Installing Alteryx Designer desktop
  • Exploring a sample workflow
2. Working with a Sample Alteryx Workflow
  • Loading data into a workflow
  • Generating a summary of the data
  • Configuring the Select tool
  • Using the Formula tool
  • Setting categorical values
  • Generating samples
  • Training a logistic regression model
  • Building decision tree and forest models
  • Configuring a boosted model
  • Validating models
3. Building a Workflow to Prepare Data
  • Examining bank customer data
  • Filtering rows in a dataset
  • Setting up one-hot encoding
  • Saving down a transformed dataset
4. Clustering Customers
  • Identifying the ideal number of clusters
  • Assigning instances to clusters
5. Building a Classification Workflow
  • Loading and analyzing the dataset
  • Preparing the data for classification
  • Building classifiers to predict defaults
Conclusion
  • Summary and next steps

Taught by

Kishan Iyer

Reviews

4.7 rating at LinkedIn Learning based on 247 ratings

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