Explore

Business Analytics Capstone

Approx. 13 hours to complete

Save Course

Go to Course

Course Summary

In this capstone course, you will apply your knowledge of analytics and data science to real-world business scenarios. You will work in teams to solve a business problem using data, and present your findings to a panel of industry experts.

Key Learning Points

Hands-on experience applying analytics to real-world business problems
Collaborative teamwork in a professional setting
Presentation skills and experience pitching to industry experts

Learning Outcomes

Apply analytics and data science to real-world business problems
Collaborate effectively with team members in a professional setting
Present findings to industry experts with confidence and clarity

Prerequisites or good to have knowledge before taking this course

Completed courses in analytics and data science
Proficiency in programming languages such as Python or R

Course Difficulty Level

Advanced

Course Format

Online
Team-based
Self-paced

Similar Courses

Data Science Ethics
Data Visualization and Communication with Tableau
Data-driven Decision Making

Related Education Paths

Notable People in This Field

Statistician
Statistician

Related Books

Description

The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end of this Capstone, you'll be able to ask the right questions of the data, and know how to use data effectively to address business challenges of your own. You’ll understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions so that you can apply these strategies to your own company or business. Designed with Yahoo to give you invaluable experience in evaluating and creating data-driven decisions, the Business Analytics Capstone Project provides the chance for you to devise a plan of action for optimizing data itself to provide key insights and analysis, and to describe the interaction between key financial and non-financial indicators. Once you complete your analysis, you'll be better prepared to make better data-driven business decisions of your own.

Outline

Module 1: Capstone Project Topic - The Problem of Adblocking
Start Here! Project Description: Business Analytics Capstone
GYF Company Profile
The Importance of Mobile Advertising
Further Exploration into Online Advertising Response Models
How Internet Ads Work
Project Template

Module 2: Defining the Problem
What is Descriptive Analytics? (Customer Analytics)
Descriptive Data Collection (Customer Analytics)
Passive Data Collection (Customer Analytics)
Beyond Period 2 (Customer Analytics)
Causality 1 (People Analytics)
Causality 2 (People Analytics)
Reverse Causality (People Analytics)
Causal Data Collection and Summary (Customer Analytics)
Definition of the Adblocking Problem
Whiting Out the Ads, but at What Cost?
Apple's Support of Adblocking
Why Adblockers Are Spurring a New Technology Arms Race
Application Exercise 1 – Recommending Customer Analytics Research Methods to Explore Your Problem

Module 3: Your Strategy
Performance Evaluation: the Challenge of Noisy Data (People Analytics)
Finding Persistence: Regression to the Mean (People Analytics)
Extrapolating from Small Samples (People Analytics)
The Wisdom of Crowds: Signal Independence (People Analytics)
Process vs. Outcome (People Analytics)
Hiring 1 (People Analytics)
Hiring 2 (People Analytics)
Does Your Strategy Need a Strategy?
How Advertisers Can Beat Adblockers
Application Exercise 2 - Using People Analytics Methods to Hire a Leader to Implement Your Strategy

Module 4: Effects of Your Strategy/Measuring these Effects
The Newsvendor Problem (Operations Analytics)
How to Build an Optimization Model (Operations Analytics)
Optimizing with Solver (Operations Analytics)
Simulating Uncertain Outcomes in Excel (Operations Analytics)
Decision Trees (Operations Analytics)
Linking Non-financial Metrics to Financial Performance: Overview (Accounting Analytics)
Steps to Linking Non-financial Metrics to Financial Performance (Accounting Analytics)
Incorporating Analysis Results in Financial Models (Accounting Analytics)
Resources for Thinking About Effects and Outcomes
Application Exercise 3 - Using Operations Analytics Methods to Understand the Allocation of Scarce Resources in Pursuing a Strategy
Application Exercise 3 Spreadsheet
Application Exercise 4 - Using Accounting Analytics Methods to Measure the Key Drivers of Your Proposed Strategy

Module 5: Final Project Submission
Applications: ROI (Customer Analytics)
Radically New Data Sets in Marketing (Customer Analytics)
Analytics Applied: Kohl's, Netflix, AmEx and more (Customer Analytics)

Summary of User Reviews

The Wharton Capstone Analytics course on Coursera offers a comprehensive approach to data analytics with real-world projects. Users have praised the course for its practicality and versatility.

Key Aspect Users Liked About This Course

Real-world projects

Pros from User Reviews

Hands-on experience with real-world projects
Versatile course that covers various aspects of data analytics
Good presentation and explanations of concepts
Engaging and interactive learning experience

Cons from User Reviews

Some users found the course challenging
Limited interaction with instructors
Some technical difficulties with the platform
Not suitable for complete beginners

Recommended for you

Customer Acquisition Cost and Customer Lifetime Value

Step-by-step guide to calculate customer acquisition cost and lifetime value with real business examples, and more! Marketing & customer analytics have become increasingly important and popular in business....

Save Course