Alteryx for Financial Services

سرفصل های دوره

In this course, Kishan Iyer explains the benefits of using the no-code/low-code Alteryx software in the financial services field, employing it as a single unified platform for both data processing and analysis. After a brief intro covering the pros and cons of Alteryx versus a traditional data analysis workflow, Kishan dives into an exploration of the Alteryx interface and features. He then takes you through a sample Alteryx workflow, showing you how to load data, generate a data summary, set categorical values, and employ the different tools available. Finally, Kishan shows you how to work with the data, cluster customers, and build a classification workflow.

01 - Introduction

01 - Alteryx overview

02 - 1. Getting Started with Alteryx

01 - Data analysis with Alteryx

02 - Working with Alteryx

03 - Installing Alteryx Designer desktop

04 - Exploring a sample workflow

03 - 2. Working with a Sample Alteryx Workflow

01 - Loading data into a workflow

02 - Generating a summary of the data

03 - Configuring the Select tool

04 - Using the Formula tool

05 - Setting categorical values

06 - Generating samples

07 - Training a logistic regression model

08 - Building decision tree and forest models

09 - Configuring a boosted model

10 - Validating models

04 - 3. Building a Workflow to Prepare Data

01 - Examining bank customer data

02 - Filtering rows in a dataset

03 - Setting up one-hot encoding

04 - Saving down a transformed dataset

05 - 4. Clustering Customers

01 - Identifying the ideal number of clusters

02 - Assigning instances to clusters

06 - 5. Building a Classification Workflow

01 - Loading and analyzing the dataset

02 - Preparing the data for classification

03 - Building classifiers to predict defaults

07 - Conclusion

01 - Summary and next steps

179,000 تومان

افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: LinkedIn Learning (Lynda)