About this Course
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 9시간 필요

권장: 9 hours/week...

영어

자막: 영어, 한국어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 9시간 필요

권장: 9 hours/week...

영어

자막: 영어, 한국어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 1시간 필요

Introduction to the Course

In this module we’ll briefly review the Information-Action Value Chain we introduced in Course 1. Then we’ll see how analytical techniques are applied in business problems, first by looking at some “classic” business problems that have been around for a long time, then by looking at some “emergent” business problems that have resulted from more recent advances in technology....
4 videos (Total 35 min), 1 quiz
4개의 동영상
1. Information Action Value Chain Redux5m
2. Analytics in Classic Business Problems11m
3. Analytics in Emergent Business Problems13m
1개 연습문제
Week 1 Quiz20m
2
완료하는 데 1시간 필요

Best Practices in Data Visualization

In this module we’ll learn about a variety of visualizations used to illustrate and communicate data. We will start with the different vehicles used to present quantitative information. We will then look at a set of examples of data visualizations and discuss what makes them effective or ineffective. Finally, we discuss Excel charts and why most of them should be avoided. After completing this module, you will be able to better understand the characteristics of good data visualization and avoid common mistakes when creating your own graphs. ...
7 videos (Total 28 min), 1 quiz
7개의 동영상
Vehicles to Present Quantitative Information4m
Data Visualization Examples3m
Graphs in Excel and ASP5m
Graphical Excellence4m
Techniques to Display Multiple Variables4m
Excel Charts to Avoid2m
1개 연습문제
Week 2 Quiz30m
3
완료하는 데 2시간 필요

Interpreting, Telling, and Selling

In this module we’ll cover a number of topics around interpreting data, gathering additional data, and pitching our recommendations based on our analysis. First, we’ll discuss ways in which we misinterpret or misrepresent data and how to avoid them, such as mistaking correlation with causation, allowing cognitive biases to influence how we see data, and visualizing data in misleading ways. We’ll also learn how experimentation can help us obtain more data, including compromises we may need to make in measurement. Finally, we’ll discuss how we communicate our results and recommendations, with a focus on knowing our audience, telling compelling stories, and creating clear and effective communication materials. ...
7 videos (Total 62 min), 1 quiz
7개의 동영상
Common Cognitive Biases10m
Misleading With Data8m
Market Experiments: When the action is the question7m
Know thy Audience11m
Telling compelling stories6m
Making It Real9m
1개 연습문제
Week 3 Quiz38m
4
완료하는 데 2시간 필요

Acting on Data

In our final module we’ll walk through two case studies and illustrate the ideas we’ve covered in the course and in the specialization as a whole. The first case shows how experimentation can be used to create data, sometimes with surprising results. The second case presents a comprehensive analysis that illustrates the entire analytic lifecycle, and shows how different methods and both quantitative and qualitative analysis can be brought together to solve one strategically important analytical problem....
4 videos (Total 40 min), 2 quizzes
4개의 동영상
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 15m
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 211m
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 310m
2개 연습문제
Week 4 Quiz16m
Final Course Assignment
4.3
16개의 리뷰Chevron Right

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최상위 리뷰

대학: SKMar 1st 2018

I really enjoyed the materials presented in this course. I wish recommendations on reference books were provided in any of these courses.

대학: AKMar 18th 2018

Very good course, Case based learning and examples explaing use of analaytics clarifed the course a lot.

강사

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Manuel Laguna

Professor
Leeds School of Business
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Dan Zhang

Professor
Leeds School of Business
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David Torgerson

Instructor

콜로라도 대학교 볼더 캠퍼스 정보

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies....

Advanced Business Analytics 전문 분야 정보

The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results. The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving. Check out a one-minute video about this specialization to learn more!...
Advanced Business Analytics

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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