Business Metrics for Data-Driven Companies

  • 4.6
Approx. 8 hours to complete

Course Summary

This course will teach you how to use data analytics to make informed business decisions. You will learn how to identify key metrics, analyze data, and use data visualization to communicate your findings.

Key Learning Points

  • Learn how to identify the right metrics for your business
  • Understand how to analyze data to make informed decisions
  • Master data visualization techniques to communicate your findings effectively

Related Topics for further study


Learning Outcomes

  • Identify key metrics for your business
  • Analyze data to make informed decisions
  • Communicate your findings effectively through data visualization

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of statistics
  • Familiarity with Excel

Course Difficulty Level

Intermediate

Course Format

  • Self-paced
  • Online
  • Video lectures

Similar Courses

  • Data-Driven Decision Making
  • Data Analytics for Business
  • Digital Marketing Analytics

Related Education Paths


Notable People in This Field

  • Digital Marketing Influencer
  • Economist and Author

Related Books

Description

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.

Outline

  • About This Specialization and Course
  • About This Specialization
  • Introduction
  • Specialization Overview
  • Course Overview
  • Introducing Business Metrics
  • Metrics Help Us Ask the Right Questions
  • Distinguishing Revenue, Profitability, and Risk Metrics
  • Distinguishing Traditional and Dynamic Metrics
  • 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
  • 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
  • Egger's Roast Coffee Cash Flow and P&L Statements
  • Business Metrics
  • 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
  • Summary of Job Requirements for Data-Centric Roles
  • 20-Item Checklist for Evaluating A Business
  • Working in the Business Data Analytics Marketplace
  • 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
  • Links Cited In AdWords Metric Video
  • Going Deeper into Business Metrics
  • Applying Business Metrics to a Business Case Study
  • A Look Ahead

Summary of User Reviews

Discover how to use business metrics to improve your decision-making process with this popular course on analytics and business metrics on Coursera. Highly recommended for professionals looking to enhance their analytical skills and gain insights into key performance indicators for their business.

Key Aspect Users Liked About This Course

The course offers practical and relevant examples that help users understand the concepts easily.

Pros from User Reviews

  • The course covers a wide range of important topics in business analytics and metrics.
  • The instructors are knowledgeable and provide engaging lectures.
  • The course is well-structured and easy to follow, even for beginners.
  • The course provides valuable insights into how to use data to make informed decisions.
  • The course offers real-world examples that are applicable to various industries.

Cons from User Reviews

  • Some users found the course to be too basic and not challenging enough.
  • Some users experienced technical issues with the platform or course materials.
  • Some users felt that the course was too theoretical and lacked practical applications.
  • The course may be too time-consuming for users with busy schedules.
  • The course may not be suitable for users looking for advanced or specialized topics.
English
Available now
Approx. 8 hours to complete
Daniel Egger, Jana Schaich Borg
Duke University
Coursera

Instructor

Daniel Egger

  • 4.6 Raiting
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