Home Coursera Business Analytics Specialization

Business Analytics Specialization

73
0
Course Highlights
  • University of Pennsylvania via Coursera
  • Learn for FREE, Up-gradable
  • 6 months of effort required
  • 115,159+ already enrolled!
  • ★★★★★ (13,552 ratings)
  • Language: English

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.

Courses:

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics.

Course Learning Outcomes:

After completing the course learners will be able to… Describe the major methods of customer data collection used by companies and understand how this data can inform business decisions Describe the main tools used to predict customer behavior and identify the appropriate uses for each tool Communicate key ideas about customer analytics and how the field informs business decisions Communicate the history of customer analytics and latest best practices at top firms

Take This Online Course


Related Courses:

save

Genomic Data Science Specialization

      • Johns Hopkins University via Coursera
      • 10 months of effort required
      • 36,791+ already enrolled!
      • ★★★★★ (3,891Reviews)

save

Big Data Specialization

      • UC San Diego via Coursera
      • 8 months of effort required
      • 101,089 already enrolled!
      • ★★★★★ (8,691 Ratings)

Your Feedback:

There are no reviews yet. Be the first one to write one.


0
Rated 0 out of 5
0 out of 5 stars (based on 0 reviews)
Excellent0%
Very good0%
Average0%
Poor0%
Terrible0%