Customer Analytics in R (614)

Issued by Statistics.com

The course objective is to provide an understanding of the problem and the context, and continue to clean, prepare and explore the relevant data. You'll work on feature engineering, handling dates, summarization, and how to work with the customer lifecycle concept in data analysis. The course culminates with a report that you will write, and a recommendation that you will prepare for a hypothetical company. Prerequisites: R Programming; Statistics

Type Validation
Level Advanced
Time Weeks

Additional Details

Skills

Capstone Project
Customer Lifecycle
Data Analytics
Data Cleaning
Data Prep
Exploratory Data Analysis
Feature Engineering
Ggplot2
R
Trends

Earning Criteria

The methods of assessment include quizzes, and more with a minimum passing score of 80%.
Instructional strategies include: discussion, computer-based training, project-based instruction, coaching/mentoring, practical exercises, classroom exercise.