
Overview
This Introduction to Business Analytics and Information Economics course offered by Coursera in partnership with University of Illinois targets learners who seek to understand the opportunities that data and analytics present for their organization and those interested in the value of and implications for data as an asset to their organization. Individuals who manage data and make decisions about how data can be leveraged in their organization will find this specialization of particular value.
Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans.
In this information age, the value of data as a business asset is essential. Organizations must creatively consider and implement new ways to generate economic benefits from the wide array of information assets available. Unfortunately, information frequently is under-appreciated and underutilized. Besides, accounting practices fail to recognize the financial value of information, and traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for organizations to leverage available information assets.
Applied Learning Project
Learners will work on cases in every course and the specialization will culminate with a project capstone that will embrace the knowledge acquired in the courses taken in this specialization.
The project capstone will consist of 4 weeks worth of activities that lead to a final project report and presentation that will be evaluated by classmates in peer review assignments following a very detailed rubric to make sure students receive meaningful feedback on their submission.
What You Will Learn:
- Conceive new ways to leverage analytics to business problems. Know what makes an analytics project successful. Be aware of key analytics trends.
- Lay out new and emerging organizational roles for treating information as an actual business asset.
- Understand and apply methods for conceiving and generating broad-based and transformative business benefits from available information assets.
- Understand business models from a data perspective and apply a variety of techniques for identifying new data-driven value streams for a business.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Business Analytics Executive Overview
- Infonomics I: Business Information Economics and Data Monetization
- Infonomics II: Business Information Management and Measurement
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Economics Business Intelligence View 58 other Short Courses in Economics in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner level
- Individuals who manage data & make decisions about how data can be leveraged in their organization will find this specialization of particular value.
Make sure you meet all requirements
Visit programme websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.