Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0031
Organization's ID:
614
Organization:
Statistics.com
Location:
Online
Length:
8 weeks (120 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Graduate 3 data analytics
Description

Objective:

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.

Learning Outcomes:

  • Explore and prepare a transactional dataset for analysis with R
  • Analyze a customer summary table with R
  • Perform feature engineering and transactional data analysis with R
  • Explore trends in customer behavior with R

General Topics:

  • Transactional dataset for analysis with R
  • Customer summary table with R
  • Advanced techniques for feature engineering
  • Transactional data analysis with R
  • Trends in customer behavior with R and the capstone project
Instruction & Assessment

Instructional Strategies:

  • Classroom Exercise
  • Coaching/Mentoring
  • Computer Based Training
  • Discussion
  • Practical Exercises
  • Project-based Instruction

Methods of Assessment:

  • Other
  • Quizzes
  • capstone project

Minimum Passing Score:

80%
Supplemental Materials