Duke University - Business Metrics for Data-Driven Companies
4.4 /5- Offered byCoursera
Business Metrics for Data-Driven Companies at Coursera Overview
Duration | 14 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Business Metrics for Data-Driven Companies at Coursera Highlights
- Requires effort of 3-5 hours per week
- Learn from expert faculty of Duke University
- 13% got a pay increase or promotion
- 29% got a tangible career benefit from this course
Business Metrics for Data-Driven Companies at Coursera Course details
- Get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies
- Know exactly what skills are required to be hired for, and succeed at, these high-demand jobs
- Be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture
- Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data
- Understand why companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies
- In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.
Business Metrics for Data-Driven Companies at Coursera Curriculum
Introducing Business Metrics
Metrics Help Us Ask the Right Questions
Distinguishing Revenue, Profitability, and Risk Metrics
Distinguishing Traditional and Dynamic Metrics
Eggera's Roast Coffee Case Study Part 1 - Definitions
Eggera's Roast Coffee Case Study Part 2 - How a Profitable, Growing Company can go Bankrupt
Revenue Metrics - Traditional Enterprise Sales Funnel
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 1
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 2
Profitability/Efficiency Metrics: Inventory Management
Profitability/Efficiency Metrics: Hotel Room Occupancy Optimization
Risk Metrics: Leverage and Reputational Risk
Working in the Business Data Analytics Marketplace
Roles and Companies as They Relate to Big Data
The Business Analyst
An Interview with Business Analyst Shambhavi Vashishtha
Distinguishing the Business Data Analyst and Business Analyst Roles
An Interview with Business Data Analyst Tiffany Yu
The Data Scientist
An Interview with Data Scientist Dai Li
The Senior Software Engineer
Overview of 5 Types of Companies as They Relate to Big Data
Traditional Strategic Business Consulting
Bricks-and-Mortar Companies
Barnes and Noble Case Study
Strategic Business Consulting - Focus on Software/IT Systems Integration
Hardware and Software Companies
Digital Companies
Going Deeper into Business Metrics
Web Marketing - Metrics
Web Marketing - AdWord Metrics
Web Marketing - Segmentation
Financial Services Metrics - Money Management and Investing
The Equivalence of Different Returns - The Sharpe Ratio
Four Types of Money Managers and Their Performance Metrics
Venture Capital and Private Equity Investors
Applying Business Metrics to a Business Case Study
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