Data & Analytics

in Gies College of Business

Data & Analytics

in Gies College of Business

Get involved with Data & Analytics in the Gies College of Business

Business Analytics Skills iCademy

The Business Analytics iCademy has a variety of competencies that provide foundational and advanced resources to help ease the burden that you face when learning about data analytics. Within each competency, skills are organized based on the analytic platform that you want to learn, such as Excel, R, or Python.
Learn more.

Introduction to Business Analytics and Information Economics Specialization through Coursera

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.
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iDegree Programs

Gies College of Business offers an innovative and highly impactful suite of online programs, headlined by our iDegrees: the online MBA (iMBA), online master’s in accounting (iMSA) and online master’s in management (iMSM). All three programs offer the same flexibility and highly engaging delivery that can appeal to learners around the world. They also offer unique “stackability,” meaning learners can start with individual MOOC videos or non-degree courses and then stack them into the full degree. Gies is committed to breaking down financial and geographic barriers and delivering life-changing access to a great business education.
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Business Analytics Skills iCademy

The Business Analytics iCademy has a variety of competencies that provide foundational and advanced resources to help ease the burden that you face when learning about data analytics. Within each competency, skills are organized based on the analytic platform that you want to learn, such as Excel, R, or Python.

While data analytics is an exciting topic, it can also be overwhelming. The skills in each competency are designed so that you can complete them in a relatively short amount of time and at your own pace, and when you’re ready to do so.

This specialization will launch by July 1.

Introduction to Business Analytics and Information Economics Specialization from Gies College of Business on Coursera

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.

  • Learn about analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes
  • Examine how information behaves in the context of various familiar micro-economic concepts, and what can be gleaned from this to improve the way information is managed and leveraged as well as ways information can generate economic benefits
  • Explore how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits
Available date: Open enrollment

Program Duration: Each course is 4 weeks in length

Hours per week: 4-6 hours per course per week

Cost Information: Free via Coursera for Workforce through September 2021

Registration Information: TBD

 

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Self-paced MOOC Coursework

Professor Doug Laney

This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. The class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. The course will wrap up with a discussion of analytics trends and futures.

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Professor Doug Laney

This first course in the two-part Infonomics series provides a non-technical perspective on and methods for understanding and taking advantage of information’s unique economic characteristics. Starting with dissecting whether the information is or isn’t an asset or even property, students will begin to appreciate the challenges and opportunities with treating it as one. Then the course examines how information behaves in the context of various familiar micro-economic concepts, and what can be gleaned from this to improve the way information is managed and leveraged. This leads to exploring the various ways information can generate economic benefits or be monetized, including how various styles of business analytics can increase information’s potential and realized value for organizations.

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Professor Doug Laney

This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits. In addition, the course will enlighten students on the critical, but confounding, issues of information ownership, property rights, and sovereignty. The course will wrap up with an overview of emergent roles for the information-savvy organization of the 21st century.

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Global Challenges in Business Webinar Series: Data

Data is Your Best Defense in a Downturn

Professor Doug Laney

In today’s uncertain global market, inexperienced or unnerved business and IT leaders tend to hunker down, tighten the belt, jettison the ballast, or worse, just stay the course. More experienced and steely leaders, on the other hand, take to heart the saying: “Don’t waste a crisis.” But how does one understand a crisis, and anticipate and take advantage of its ramifications? One word: data. While it may make sense to push the pause button on particular capital expenditures, investing in data and analytics in many cases should be accelerated, not abated. In this webinar, Professor Laney will share guidance and examples for business and IT leaders on how to leverage data assets to not simply withstand challenging economic times but thrive.

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Social Media Analytics and the Covid-19 Infodemic

Professor Joseph Yun

“We’re not just fighting an epidemic; we’re fighting an infodemic,” said Tedros Adhanom Ghebreyesus, Director-General of the World Health Organization (WHO) in mid-February, referring to fake news that “spreads faster and more easily than this virus.” Joseph Yun has been leading a team of social media analysts to support the Pan American Health Organization’s (PAHO) efforts in managing social media strategies for COVID-19 in the Americas while also working with the WHO to combat the COVID-19 infodemic of misinformation. This webinar will begin with a primer on what social media analytics entails, which includes research being conducted on social media analytics systems at the University of Illinois. We will then review what the WHO has been organizing with regards to fighting the COVID-19 infodemic. Finally, we will present what has been done by our team thus far with the PAHO (in partnership with the WHO) in efforts to support the Americas’ social media response to COVID-19.

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Good Faith and Forward Looking: How Do CEOs and CFOs Talk about the Impact of the Coronavirus Shutdown on Corporate Profits?

Professor Fei Du

First-quarter earnings forecasts dropped for all 11 sectors in the S&P500. While some industries are hit by an unprecedented drop in demand, others face unprecedented growth opportunities. Companies are urged to disclose COVID-19’s impact on their businesses in earnings conference calls, and SEC chairman Jay Clayton encourages companies to issue forward-looking disclosures to investors and be as transparent as possible. Professor Du will talk about some empirical insight from earnings conference call transcripts from the top 10 industry leaders in consumer staples, technology, and communications. Participants will receive a data analytics tool kit that allows them to directly interact with the data, adjust the parameters, and generate the results in their preferred format. Participants will also have an opportunity to ask questions.

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iDegree Programs

iMBA: Business Analytics Specialization

Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.

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iMSA: Data Analytics Specialization

The iMSA Data Analytics Specialization develops leaders who understand (1) how to apply data analytics in a variety of accounting and business contexts, (2) critically solve business problems using data-intensive business and accounting information, and (3) synthesize and effectively communicate data-intensive information, findings, and conclusions to other environment-constituents, including supervisors, peers and subordinates, clients, and regulatory agencies.

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