Introduction to Business Analytics and Information Economics, Short Course | Part time online | Coursera | United States
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Introduction to Business Analytics and Information Economics

1 months
Duration
Free
Free
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Tuition fee
Anytime
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About

Analytic opportunities and the value of data. Gain the ability to process data to make predictions about the behavior of individuals or markets with this Introduction to Business Analytics and Information Economics course offered by Coursera in partnership with University of Illinois.

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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.

Programme Structure

Courses include:

  • Business Analytics Executive Overview
  • Infonomics I: Business Information Economics and Data Monetization
  • Infonomics II: Business Information Management and Measurement

Key information

Duration

  • Part-time
    • 1 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic 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.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

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.

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