About this Course
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Approx. 9 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English, Korean

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English, Korean

Syllabus - What you will learn from this course

Week
1
1 hour to complete

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
4 videos
1. Information Action Value Chain Redux5m
2. Analytics in Classic Business Problems11m
3. Analytics in Emergent Business Problems13m
1 practice exercise
Week 1 Quiz20m
Week
2
1 hour to complete

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
7 videos
Vehicles to Present Quantitative Information4m
Data Visualization Examples3m
Graphs in Excel and ASP5m
Graphical Excellence4m
Techniques to Display Multiple Variables4m
Excel Charts to Avoid2m
1 practice exercise
Week 2 Quiz30m
Week
3
2 hours to complete

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
7 videos
Common Cognitive Biases10m
Misleading With Data8m
Market Experiments: When the action is the question7m
Know thy Audience11m
Telling compelling stories6m
Making It Real9m
1 practice exercise
Week 3 Quiz38m
Week
4
2 hours to complete

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
4 videos
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
2 practice exercises
Week 4 Quiz16m
Final Course Assignment1h
4.3
16 ReviewsChevron Right

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started a new career after completing these courses

25%

got a tangible career benefit from this course

Top reviews from Communicating Business Analytics Results

By 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.

By AKMar 18th 2018

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

Instructors

Avatar

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

About 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....

About the Advanced Business Analytics Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.