課程信息
4.3
89 個評分
11 個審閱
專項課程

第 4 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
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可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為8 小時

建議:9 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語...
專項課程

第 4 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為8 小時

建議:9 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 1 小時

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....
Reading
4 個視頻(共 35 分鐘), 1 個測驗
Video4 個視頻
1. Information Action Value Chain Redux5分鐘
2. Analytics in Classic Business Problems11分鐘
3. Analytics in Emergent Business Problems13分鐘
Quiz1 個練習
Week 1 Quiz20分鐘
2
完成時間(小時)
完成時間為 1 小時

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. ...
Reading
7 個視頻(共 28 分鐘), 1 個測驗
Video7 個視頻
Vehicles to Present Quantitative Information4分鐘
Data Visualization Examples3分鐘
Graphs in Excel and ASP5分鐘
Graphical Excellence4分鐘
Techniques to Display Multiple Variables4分鐘
Excel Charts to Avoid2分鐘
Quiz1 個練習
Week 2 Quiz30分鐘
3
完成時間(小時)
完成時間為 2 小時

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. ...
Reading
7 個視頻(共 62 分鐘), 1 個測驗
Video7 個視頻
Common Cognitive Biases10分鐘
Misleading With Data8分鐘
Market Experiments: When the action is the question7分鐘
Know thy Audience11分鐘
Telling compelling stories6分鐘
Making It Real9分鐘
Quiz1 個練習
Week 3 Quiz38分鐘
4
完成時間(小時)
完成時間為 2 小時

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....
Reading
4 個視頻(共 40 分鐘), 2 個測驗
Video4 個視頻
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 15分鐘
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 211分鐘
Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 310分鐘
Quiz2 個練習
Week 4 Quiz16分鐘
Final Course Assignment分鐘
4.3
工作福利

83%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 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.

創建者 AKMar 18th 2018

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

講師

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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

關於 University of Colorado Boulder

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....

關於 Advanced Business Analytics 專項課程

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

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