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.
Ce cours fait partie de la Spécialisation Introduction to Business Analytics and Information Economics
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Spécialisation Introduction to Business Analytics and Information EconomicsUniversité de l'Illinois à Urbana-ChampaignÀ propos de ce cours
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Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 1 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 17 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Chinois (simplifié), Italien, Vietnamien, Coréen, Allemand, Russe, Turc, Anglais, Espagnol
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Université de l'Illinois à Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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Ce cours fait partie du diplôme intégralement en ligne Master of Science in Accountancy (iMSA) de Université de l'Illinois à Urbana-Champaign.
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Programme du cours : ce que vous apprendrez dans ce cours
6 heures pour terminer
Course Overview & Module 1 Analytics Beyond the Spreadsheet
This first module exposes and explains key data and analytics concepts from Big Data to data warehousing to natural language query, and everything in-between. Next we will explore various analytic techniques, types of visualizations, and types of analytics solutions. The course will continue with identifying and learning about key data and analytics roles and organization structures, including chief data and analytics officers, data scientists, and analytics centers of excellence. Alternatives to direct hiring, such as outsourcing and crowdsourcing, will also be covered. Finally, the course will scrutinize analytic trends and futures.
6 heures pour terminer
17 vidéos (Total 97 min), 7 lectures, 2 quiz
17 vidéos
Meet Instructor Doug Laney1 min
Lesson 1-1 Overview of Analytics5 min
Lesson 1-2 Beyond Basic Business Intelligence6 min
Lesson 1-3-1 The Analytics Continuum7 min
Lesson 1-3-2 Analytic Output6 min
Lecture 1-3-3 Basic Analytic Techniques2 min
Lecture 1-4 Analytic Graphical Representation (Visualization)11 min
Interview with Kevin Hartman14 min
Lecture 1-5-1 Key Analytics Concepts to Know (Data Literacy)32s
Lecture 1-5-2 Data, What Data? (Sources of Data)5 min
Lecture 1-5-3 Where to Put the Data and How to Get it There?8 min
Lecture 1-5-4 Analytic Methods, Techniques and Concepts6 min
Lecture 1-5-5 Other Data Concepts4 min
Lecture 1-6-1 Purpose-Built Analytic Solutions17s
Lecture 1-6-2 Data-specific Analytic Solutions4 min
Lecture 1-6-3 Business Function-Specific Analytics8 min
7 lectures
Syllabus20 min
About the Discussion Forums10 min
Glossary20 min
Brand Descriptions20 min
Update Your Profile10 min
Module 1 Overview20 min
Module 1 Readings2 h
2 exercices pour s'entraîner
Orientation Quiz30 min
Module 1 Graded Quiz30 min
3 heures pour terminer
Module 2 Industry and Business Function Analytics
Over the course of the module, you will also see how data and analytics in each of these organizations can be used in similar ways, in similar business functions. Accordingly, you will appreciate that to be truly data-driven, you need not only look to examples in your own industry, but, also learn and apply analytics concepts from organizations in other fields.
3 heures pour terminer
11 vidéos (Total 66 min), 2 lectures, 1 quiz
11 vidéos
Module 2 Overview2 min
Lecture 2-1 Banking and Financial Institution Examples6 min
Lecture 2-2 Insurance Examples3 min
Lecture 2-3 Retail Examples7 min
Lecture 2-4 Manufacturing, Consumer Package Goods Examples5 min
Lecture 2-5 Energy Sector Examples7 min
Lecture 2-6 Telecommunications Examples3 min
Lecture 2-7 Government and the Public Sector Examples10 min
Lecture 2-8 Healthcare Examples6 min
Lecture 2-9 Sports and Entertainment Examples4 min
Lecture 2-10 Other Examples7 min
2 lectures
Module 2 Overview20 min
Module 2 Readings1h 30min
1 exercice pour s'entraîner
Module 2 Graded Quiz30 min
4 heures pour terminer
Module 3 Staffing and Organizing for Analytics
In this module you will learn a bunch of crucial analytical roles and the emergence of new roles in organizations from the C-suite down to various analyst roles. You will take a brief look at the job descriptions and the responsibilities. You will also put yourself in either a job seeker’s or a recruiter’s shoes to see what kind of skill sets are the most important and which position fits you the best. For example, it will introduce you to the three core skills of the data scientist and the crucial soft skills required to be a successful data scientist.
4 heures pour terminer
11 vidéos (Total 74 min), 2 lectures, 2 quiz
11 vidéos
Lecture 3-1 The Chief Information Officer (CIO)3 min
Lecture 3-2 The Chief Data Officer (CDO)7 min
Lecture 3-3 Chief Digital Officer2 min
Lecture 3-4 The Chief Analytics Officer (CAO)3 min
Lecture 3-5 The Data Scientist8 min
Lecture 3-6 Data Scientist Soft Skills4 min
Lecture 3-7 Other Analytics Related Roles9 min
Lecture 3-8 The Analytics Center of Excellence4 min
Lecture 3-9 Analytics Consulting and Crowdsourcing5 min
Interview with Graham Waller23 min
2 lectures
Module 3 Overview20 min
Module 3 Readings1 h
1 exercice pour s'entraîner
Module 3 Graded Quiz30 min
3 heures pour terminer
Module 4 Analytics Success Today and Tomorrow
This module explores telling stories, through data, that connect emotionally with your audience. It will also review examples and figures that make the concept easy to understand. You will learn the major do’s and don’ts of creating dataviz and rules that lead to the clear depiction of your findings. This unit specifically focuses on Dona Wong’s guidelines for good data visualization and charts. The last leg of Module 4 teaches the three tests that help you improve your visualization. In the final step of dataviz execution, you will learn the McCandless Method for presenting visualizations. This five-step process produces the most effective communication of the graphics to your audience.
3 heures pour terminer
15 vidéos (Total 57 min), 3 lectures, 1 quiz
15 vidéos
Lecture 4-1-2 Analytics Maturity Levels3 min
Lecture 4-1-3 Key Maturity Disciplines3 min
Lecture 4-2 Analytics Success Factors11 min
Lecture 4-3-0 Analytics Trends and Futures41s
Lecture 4-3-1 Analytics as a Corporate Strategy2 min
Lecture 4-3-2 Data Literacy3 min
Lecture 4-3-3 Valuing Information Assets4 min
Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct4 min
Lecture 4-3-5 Continuous Intelligence2 min
Lecture 4-3-6 Reinventing, Digitalizing and Eliminating Business Offerings2 min
Lecture 4-3-7 AI will Struggle to Scale in the Organization3 min
Lecture 4-3-8 Most Analytic Insights Will Fail to Deliver Business Value3 min
Lecture 4-3-9 Quantum Computing Will Start to Outperform Traditional Analytics Computing4 min
Gies Online Programs3 min
3 lectures
Module 4 Overview20 min
Module 4 Readings1 h
Congratulations!10 min
1 exercice pour s'entraîner
Module 4 Graded Quiz30 min
Avis
Meilleurs avis pour BUSINESS ANALYTICS EXECUTIVE OVERVIEW
par S29 juil. 2020
A good course that introduces us to the trends / organization roles etc. A few more real-life examples with the actual set up and organization of the data/analytics department would have helped more.
par EC1 nov. 2020
I thoroughly enjoyed the course. It has given me sufficient insights to move forward to the data science and analytics fields. The real-world examples are on point for each lesson.
par EM19 juin 2019
Definetly a source for present day information and upcoming trends in analytics. This professor definetly can offer a new comers guide to data analytics.
par S15 mai 2020
knowledgeable and a lot of insight towards the role of analytics in the business world and in a nations economy and its different elements.
À propos du Spécialisation Introduction to Business Analytics and Information Economics
This specialization 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.
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