Machine Learning Workshop: User Growth & Retention

This is the first weekend workshop in the Spring Series from Zipfian Academy!

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Date and Time: April 26 & 27 from 9-4:30pm (2 full days)

Level: Intermediate

Includes: Workstations and data sets

Cost: $495.00. Half-off regular price!

About the Workshop
Potential users and customers are always out there waiting, but it's tricky to figure out the best way to identify them with few resources.
Maybe you're sitting on great data about your users and customers that can help you solve these problems. Or maybe you just want to learn how to use machine learning to solve these kinds of problems.

In this hands-on workshop, we'll show you how to work deeply with your own data about site visitors, registered users, and customers. You'll leave understanding what data is most important to your business and how to use it to build value for your company. 

What You'll Accomplish (with our help!): 

• Turn observations about users into actionable metrics to drive business decisions 

• Learn which observations and metrics about users are most important in predicting behavior

• Work with a data set to measure customer churn, forecast sales, and optimize funnels

• Utilize more advanced data analysis tools with machine learning algorithms in Python's scikit-learn 

• Take back tactics to apply on Monday

We'll work with a data set about a prepared meals company called ReadyChef. Working with data from traffic on the site, our instructors will take you through understanding the value of traffic from various referrals, and predicting the likelihood that users will convert, churn, or remain given that they come from a particular source. 

About the Instructors 

The workshop is taught by Adam Gibson with Ryan Orban and Jonathan Dinu. Adam is the co-founder of machine learning startup and an Instructor at Zipfian Academy. Ryan Orban and Jonathan Dinu are co-founders of Zipfian Academy.

Workshops at Zipfian Academy 

This is part of Zipfian Academy's spring workshop series. We offer small-group training in data science, analytics, machine learning with Python, statistics, SQL and visualization. We're best known for our 12-week immersive data science program, which trains quantitative people into data science roles at companies like Facebook, Tesla Motors,, and data-driven startups.

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