- Level Foundation
- المدة 8 ساعات hours
- الطبع بواسطة Duke University
-
Offered by
عن
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. You'll 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. And you'll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs. Finally, you will 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. You'll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.الوحدات
Specialization Introduction: Excel to MySQL: Analytic Techniques for Business
1
Videos
- About This Specialization
1
Readings
- Specialization Overview
Introduction to Course One: Business Metrics for Data-Driven Companies
1
Videos
- Introduction
1
Readings
- Course Overview
What are Business Metrics?
3
Videos
- Metrics Help Us Ask the Right Questions
- Distinguishing Revenue, Profitability, and Risk Metrics
- Distinguishing Traditional and Dynamic Metrics
Case Study for Financial Accounting Metrics
2
Videos
- Egger’s Roast Coffee Case Study Part 1 – Definitions
- Egger’s Roast Coffee Case Study Part 2 – How a Profitable, Growing Company can go Bankrupt
1
Readings
- Egger's Roast Coffee Cash Flow and P&L Statements
Revenue, Profitability, and Risk Metrics
6
Videos
- 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
Review
1
Assignment
- Business Metrics
Introduction to Data-Centric Roles
5
Videos
- 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
1
Readings
- Summary of Job Requirements for Data-Centric Roles
The Data Scientist and Software Engineering Roles
3
Videos
- The Data Scientist
- An Interview with Data Scientist Dai Li
- The Senior Software Engineer
Companies As They Relate to Big Data
4
Videos
- 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
1
Readings
- 20-Item Checklist for Evaluating A Business
Companies As They Relate to Big Data, Part 2
3
Videos
- Strategic Business Consulting - Focus on Software/IT Systems Integration
- Hardware and Software Companies
- Digital Companies
Review
1
Assignment
- Working in the Business Data Analytics Marketplace
Web Marketing
3
Videos
- Web Marketing - Metrics
- Web Marketing - AdWord Metrics
- Web Marketing - Segmentation
1
Readings
- Links Cited In AdWords Metric Video
Financial Services - Money Management
4
Videos
- 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
Review
1
Assignment
- Going Deeper into Business Metrics
Final Project/Peer Evaluation
1
Peer Review
- Articulating Business Metrics in a Business Case Study
1
Readings
- A Look Ahead
Auto Summary
Unlock the power of data with "Business Metrics for Data-Driven Companies" on Coursera. This foundational course, led by expert instructors, explores key business metrics and the roles of business analysts, business data analysts, and data scientists. Learn to leverage data analytics for competitive advantage and profitability, using real-life examples from digital giants like Amazon, Uber, and Airbnb. With a duration of 480 minutes, flexible subscription options, and a focus on high-demand job skills, this course is perfect for aspiring data professionals.

Daniel Egger

Jana Schaich Borg