Business Metrics for Data-Driven Companies

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Opleiderscore: starstarstarstar_halfstar_border 7,2 Coursera (CC) heeft een gemiddelde beoordeling van 7,2 (uit 6 ervaringen)

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Beschrijving

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  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: 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 Amazo…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Data Driven, Big Data, Datavisualisatie, Data Science en Data Driven Marketing.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: 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.

Created by:  Duke University
  • Taught by:  Daniel Egger, Executive in Residence and Director, Center for Quantitative Modeling

    Pratt School of Engineering, Duke University
  • Taught by:  Jana Schaich Borg, Assistant Research Professor

    Social Science Research Institute
Basic Info Course 1 of 5 in the Excel to MySQL: Analytic Techniques for Business Specialization Commitment 4 weeks, 3-5 hours per week Language English, Subtitles: Chinese (Simplified) How To Pass Pass all graded assignments to complete the course. User Ratings 4.5 stars Average User Rating 4.5See what learners said Coursework

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Duke University Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.

Syllabus


WEEK 1


About This Specialization and Course



This Coursera Specialization: Excel to MySQL: Analytic Techniques for Business, is about how 'Big Data' interacts with business, and how to use data analytics to create value for businesses. This specialization consists of four courses and a final Capstone Project, where you will apply your skills to real-world business process. You will learn to perform sophisticated data-analysis functions using powerful software tools such as Microsoft Excel, Tableau, and MySQL. To learn more, watch the video and review the specialization overview document we provided. In the first course of the specialization: Business Metrics for Data-Driven Companies, you will be able to learn best practices for using data analytics to make any company more competitive and more profitable; learn to recognize the most critical business metrics and distinguish those from mere data; understand the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies; and know exactly the skills required to be hired for, and succeed at, these high-demand jobs. Finally, using a 20-item checklist for evaluating a business, you'll be able 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.To get started, please begin with the video 'About This Specialization.'I hope you enjoy this week's materials!


2 videos, 3 readings expand


  1. Video: About This Specialization
  2. Reading: Specialization Overview
  3. Video: Introduction
  4. Reading: Course Overview
  5. Reading: Feedback Survey Information


Introducing Business Metrics



Welcome! This week we will explore business metrics - the critical numbers that help companies figure out how to survive and thrive. Inside every pile of data is a vital metric trying to get out! By the end of this week, you will be able to: distinguish business metrics from mere business data; identify critical business metrics such as cash flow, profitability, and online retail marketing metrics; distinguish revenue, profitability and risk metrics; and distinguish traditional from dynamic metrics. Included in this week’s course materials is a Cash Flow and P&L statement for Egger’s Roast Coffee, as a supplemental document, so be sure to review it carefully and refer to the glossary for key information.


11 videos, 2 readings expand


  1. Video: Metrics Help Us Ask the Right Questions
  2. Video: Distinguishing Revenue, Profitability, and Risk Metrics
  3. Video: Distinguishing Traditional and Dynamic Metrics
  4. Reading: Egger's Roast Coffee Cash Flow and P&L Statements
  5. Video: Egger’s Roast Coffee Case Study Part 1 – Definitions
  6. Video: Egger’s Roast Coffee Case Study Part 2 – How a Profitable, Growing Company can go Bankrupt
  7. Video: Revenue Metrics – Traditional Enterprise Sales Funnel
  8. Video: Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 1
  9. Video: Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 2
  10. Video: Profitability/Efficiency Metrics: Inventory Management
  11. Video: Profitability/Efficiency Metrics: Hotel Room Occupancy Optimization
  12. Video: Risk Metrics: Leverage and Reputational Risk
  13. Reading: Feedback Survey

Graded: Business Metrics

WEEK 2


Working in the Business Data Analytics Marketplace



Welcome! This week, we will meet some great people - all former students of mine - now working at super-interesting and exciting jobs as business analysts, business data analysts, or data scientists. We’ll explore what they do, how their role relates to big data, and the skills they needed to get hired! Our hope is this information will give you a better understanding of the type of data-related job you might apply for once you've completed this specialization, and a sense of the type of company you would find most appealing to work for. By the end of this week, you will be able to: differentiate among different job roles within a company that work with data; identify how each role works with data; and describe the skills required to perform each job role. You will differentiate how different types of companies relate to big data culture, and rank any company according to a 20-item checklist. You will also learn to differentiate how different types of companies relate to big data culture. Included in this week’s materials is a 20-item checklist to rank companies. This week also includes in-video polls so you can see how others are ranking their businesses.


15 videos, 3 readings expand


  1. Video: Roles and Companies as They Relate to Big Data
  2. Video: The Business Analyst
  3. Video: An Interview with Business Analyst Shambhavi Vashishtha
  4. Video: Distinguishing the Business Data Analyst and Business Analyst Roles
  5. Video: An Interview with Business Data Analyst Tiffany Yu
  6. Reading: Summary of Job Requirements for Data-Centric Roles
  7. Video: The Data Scientist
  8. Video: An Interview with Data Scientist Dai Li
  9. Video: The Senior Software Engineer
  10. Video: Overview of 5 Types of Companies as They Relate to Big Data
  11. Video: Traditional Strategic Business Consulting
  12. Video: Bricks-and-Mortar Companies
  13. Video: Barnes and Noble Case Study
  14. Reading: 20-Item Checklist for Evaluating A Business
  15. Video: Strategic Business Consulting - Focus on Software/IT Systems Integration
  16. Video: Hardware and Software Companies
  17. Video: Digital Companies
  18. Reading: Feedback Survey

Graded: Working in the Business Data Analytics Marketplace

WEEK 3


Going Deeper into Business Metrics



Welcome! This week we’re going to go deeper into the critically-important metrics for web marketing - metrics every type of business needs to understand in order to survive. We’ll dive into the 'vertical' market of financial services - where digital companies are threatening to take away the market from traditional 'brick-and- mortar' companies.By the end of this week, you will be able to: Identify critical business metrics for all companies engaged in web-based marketing; and identify critical business metrics for financial services companies. You’ll find additional website links that expand some of the course materials covered in this week’s video lectures.


7 videos, 2 readings expand


  1. Video: Web Marketing - Metrics
  2. Video: Web Marketing - AdWord Metrics
  3. Video: Web Marketing - Segmentation
  4. Reading: Links Cited In AdWords Metric Video
  5. Video: Financial Services Metrics - Money Management and Investing
  6. Video: The Equivalence of Different Returns –The Sharpe Ratio
  7. Video: Four Types of Money Managers and Their Performance Metrics
  8. Video: Venture Capital and Private Equity Investors
  9. Reading: Feedback Survey

Graded: Going Deeper into Business Metrics

WEEK 4


Applying Business Metrics to a Business Case Study
This week contains the final course assignment, a peer assessment in which you will identify business metrics of interest in a case example, describe those metrics, and propose a business process change that could be supported by the metric chosen.


2 readings expand


  1. Reading: A Look Ahead
  2. Reading: Feedback survey

Graded: Articulating Business Metrics in a Business Case Study

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