Customer Analytics and A/B Testing in Python

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Companies that are able to anticipate and understand the needs of customers will be more successful. A/B testing and customer analytics are key components to using quantitative information to make business decisions that add value. This course will show you how to use Python for customer patterns and trends analysis. This course will show you how to use A/B Testing to make data-driven business decisions.

Course Overview

Virtual Labs

Job Assistance

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas is recommended for this course

Python Data Science Toolbox (Part 1) is recommended for this course

What You Will Learn

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions

This course covers the ins and outs of how to use Python to analyze customer behavior and business trends as well as how to create, run, and analyze A/B tests to make proactive, data-driven business decisions

Course Content

Expand all sections

Module 1: Key Performance Indicators: Measuring Business Success

Module 2: Exploring and Visualizing Customer Behavior

Module 3: The Design and Application of A/B Testing

Module 4: Analyzing A/B Testing Results

Course Instructors

Ryan Grossman

Data Scientist at EDO Inc.

Ryan is a Data Scientist at EDO Inc, a Data Science Software company. Prior to that he worked designing and analyzing A/B tests and customer data as a member of the Business Analytics team at Tinder....

Course Reviews

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