UPenn - Business Analytics Capstone
- Offered byCoursera
Business Analytics Capstone at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Business Analytics Capstone at Coursera Highlights
- Offered By University of Pennsylvania
- inlcudes peer graded assignments, exercises and quizzes
- 21% got a pay increase or promotion
- 31% got a tangible career benefit from this course
Business Analytics Capstone at Coursera Course details
- 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.
- 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. 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.
Business Analytics Capstone at Coursera Curriculum
WEEK-1-Module 1: Capstone Project Topic - The Problem of Adblocking
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)
WEEK-2-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)
WEEK-3-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)
WEEK-4-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)
Business Analytics Capstone at Coursera Admission Process
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