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字幕:英語, アラビア語, 中国語(簡体)

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Data AnalysisBusiness AnalysisBusiness AnalyticsBusiness Process

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約14時間で修了

推奨:4 weeks, 3-5 hours per week...

英語

字幕:英語, アラビア語, 中国語(簡体)

シラバス - 本コースの学習内容

1
28分で修了

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件のビデオ (合計8分), 2 readings
2件のビデオ
Introduction3 分
2件の学習用教材
Specialization Overview10 分
Course Overview10 分
2時間で修了

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件のビデオ (合計90分), 1 reading, 1 quiz
11件のビデオ
Distinguishing Revenue, Profitability, and Risk Metrics6 分
Distinguishing Traditional and Dynamic Metrics6 分
Egger’s Roast Coffee Case Study Part 1 – Definitions13 分
Egger’s Roast Coffee Case Study Part 2 – How a Profitable, Growing Company can go Bankrupt12 分
Revenue Metrics – Traditional Enterprise Sales Funnel8 分
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 18 分
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 26 分
Profitability/Efficiency Metrics: Inventory Management10 分
Profitability/Efficiency Metrics: Hotel Room Occupancy Optimization9 分
Risk Metrics: Leverage and Reputational Risk4 分
1件の学習用教材
Egger's Roast Coffee Cash Flow and P&L Statements10 分
1の練習問題
Business Metrics30 分
2
2時間で修了

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件のビデオ (合計77分), 2 readings, 1 quiz
15件のビデオ
The Business Analyst7 分
An Interview with Business Analyst Shambhavi Vashishtha6 分
Distinguishing the Business Data Analyst and Business Analyst Roles3 分
An Interview with Business Data Analyst Tiffany Yu4 分
The Data Scientist5 分
An Interview with Data Scientist Dai Li4 分
The Senior Software Engineer2 分
Overview of 5 Types of Companies as They Relate to Big Data4 分
Traditional Strategic Business Consulting4 分
Bricks-and-Mortar Companies7 分
Barnes and Noble Case Study4 分
Strategic Business Consulting - Focus on Software/IT Systems Integration3 分
Hardware and Software Companies7 分
Digital Companies5 分
2件の学習用教材
Summary of Job Requirements for Data-Centric Roles10 分
20-Item Checklist for Evaluating A Business10 分
1の練習問題
Working in the Business Data Analytics Marketplace30 分
3
2時間で修了

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件のビデオ (合計63分), 1 reading, 1 quiz
7件のビデオ
Web Marketing - AdWord Metrics7 分
Web Marketing - Segmentation5 分
Financial Services Metrics - Money Management and Investing13 分
The Equivalence of Different Returns –The Sharpe Ratio8 分
Four Types of Money Managers and Their Performance Metrics14 分
Venture Capital and Private Equity Investors6 分
1件の学習用教材
Links Cited In AdWords Metric Video10 分
1の練習問題
Going Deeper into Business Metrics30 分
4
2時間で修了

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....
1 reading, 1 quiz
1件の学習用教材
A Look Ahead10 分
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人気のレビュー

by ACNov 3rd 2018

really good bases for business metric if you already have a background you are going to enjoy and refresh you memory and if you don't have previous experiences is really easy to understand the concept

by JJFeb 27th 2017

It's the first course from the specification, which makes us better understand the necessary business metrics for data-driven companies, and it is a good entry for following modules. Help me a lot.

講師

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Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University
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Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute

デューク大学(Duke University)について

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....

Excel` から MySQL: ビジネスのための分析テクニックの専門講座について

Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion....
Excel` から MySQL: ビジネスのための分析テクニック

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