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Predictive Analytics for Business

Nanodegree Program

Learn to clearly define business issues, prepare and clean data, and implement a variety of predictive modeling techniques.

Learn to clearly define business issues, prepare and clean data, and implement a variety of predictive modeling techniques.

Built in collaboration with

Alteryx

Intermediate

2 months

Real-world Projects

Completion Certificate

Last Updated November 24, 2023

Skills you'll learn:
Demographic market segmentation • K-means clustering • Tableau visualizations • Dimensionality reduction
Prerequisites:

No experience required

Courses In This Program

Course 1 1 day

Welcome to the program

Course 2 2 weeks

Problem Solving with Analytics

Course 3 2 weeks

Data Wrangling

Course 4 2 weeks

Classification Models

Taught By The Best

Photo of Tony Moses

Tony Moses

Instructor

Tony Moses is a Solutions Engineer at Alteryx, Inc. He works with customers to help develop plans to solve complex business problems around data preparation, geospatial analysis and predictive analytics.

Photo of Rod Light

Rod Light

Instructor

Rod Light is a Solutions Engineer Practice Lead at Alteryx, where he helps customers and prospects design data analytics solutions for their businesses using Alteryx.

Photo of Maureen Wolfson

Maureen Wolfson

Instructor

Maureen Wolfson is a Solution Engineer at Alteryx, Inc. She has more than 20 years of data analysis expertise specializing in data, customer and geospatial analysis.

Photo of Ben Burkholder

Ben Burkholder

Instructor

Ben Burkholder is a senior solution engineer at Alteryx, Inc. In this role he works extensively with clients to help develop plans to solve complex business problems around data preparation, geospatial analysis, and predictive analytics.

Photo of Patrick Nussbaumer

Patrick Nussbaumer

Instructor

Patrick Nussbaumer is Technical Activation Director at Alteryx, Inc. Prior to Alteryx, Patrick has spent the past 20 years in a variety of roles focused on data analysis, telecommunications, and financial services industries.

Ratings & Reviews

Average Rating: 4.7 Stars

(272 Reviews)

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