Informações sobre o curso
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Aprox. 13 horas para completar

Sugerido: 4-6 hours/week...

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Legendas: Inglês

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 13 horas para completar

Sugerido: 4-6 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
6 horas para concluir

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.

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17 vídeos ((Total 97 mín.)), 7 leituras, 2 testes
17 videos
Meet Instructor Doug Laney1min
Lesson 1-1 Overview of Analytics5min
Lesson 1-2 Beyond Basic Business Intelligence6min
Lesson 1-3-1 The Analytics Continuum7min
Lesson 1-3-2 Analytic OutpuT6min
Lecture 1-3-3 Basic Analytic Techniques2min
Lecture 1-4 Analytic Graphical Representation (Visualization)11min
Interview with Kevin Hartman14min
Lecture 1-5-1 Key Analytics Concepts to Know (Data Literacy)32s
Lecture 1-5-2 Data, What Data? (Sources of Data)5min
Lecture 1-5-3 Where to Put the Data and How to Get it There?8min
Lecture 1-5-4 Analytic Methods, Techniques and Concepts6min
Lecture 1-5-5 Other Data Concepts4min
Lecture 1-6-1 Purpose-Built Analytic Solutions17s
Lecture 1-6-2 Data-specific Analytic Solutions4min
Lecture 1-6-3 Business Function-Specific Analytics8min
7 leituras
Syllabus20min
About the Discussion Forums10min
Glossary20min
Brand Descriptions20min
Update Your Profile10min
Module 1 Overview20min
Module 1 Readings2h
2 exercícios práticos
Orientation Quiz10min
Module 1 Graded Quiz30min
Semana
2
3 horas para concluir

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.

...
11 vídeos ((Total 66 mín.)), 2 leituras, 1 teste
11 videos
Lecture 2-1 Banking and Financial Institution Examples6min
Lecture 2-2 Insurance Examples3min
Lecture 2-3 Retail Examples7min
Lecture 2-4 Manufacturing, Consumer Package Goods Examples5min
Lecture 2-5 Energy Sector Examples7min
Lecture 2-6 Telecommunications Examples3min
Lecture 2-7 Government and the Public Sector Examples10min
Lecture 2-8 Healthcare Examples6min
Lecture 2-9 Sports and Entertainment Examples4min
Lecture 2-10 Other Examples7min
2 leituras
Module 2 Overview20min
Module 2 Readings1h 30min
1 exercício prático
Module 2 Graded Quiz30min
Semana
3
5 horas para concluir

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.

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11 vídeos ((Total 74 mín.)), 2 leituras, 2 testes
11 videos
Lecture 3-1 The Chief Information Officer (CIO)3min
Lecture 3-2 The Chief Data Officer (CDO)7min
Lecture 3-3 Chief Digital Officer2min
Lecture 3-4 The Chief Analytics Officer (CAO)3min
Lecture 3-5 The Data Scientist8min
Lecture 3-6 Data Scientist Soft Skills4min
Lecture 3-7 Other Analytics Related Roles9min
Lecture 3-8 The Analytics Center of Excellence4min
Lecture 3-9 Analytics Consulting and Crowdsourcing5min
Interview with Graham Waller23min
2 leituras
Module 3 Overview20min
Module 3 Readings1h
1 exercício prático
Module 3 Graded Quiz30min
Semana
4
3 horas para concluir

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.

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14 vídeos ((Total 53 mín.)), 2 leituras, 1 teste
14 videos
Lecture 4-1-2 Analytics Maturity Levels3min
Lecture 4-1-3 Key Maturity Disciplines3min
Lecture 4-2 Analytics Success Factors11min
Lecture 4-3-0 Analytics Trends and Futures41s
Lecture 4-3-1 Analytics as a Corporate Strategy2min
Lecture 4-3-2 Data Literacy3min
Lecture 4-3-3 Valuing Information Assets4min
Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct4min
Lecture 4-3-5 Continuous Intelligence2min
Lecture 4-3-6 Reinventing, Digitalizing and Eliminating Business Offerings2min
Lecture 4-3-7 AI will Struggle to Scale in the Organization3min
Lecture 4-3-8 Most Analytic Insights Will Fail to Deliver Business Value3min
Lecture 4-3-9 Quantum Computing Will Start to Outperform Traditional Analytics Computing4min
2 leituras
Module 4 Overview20min
Module 4 Readings1h
1 exercício prático
Module 4 Graded Quiz30min
4.5
11 avaliaçõesChevron Right

Melhores avaliações

por DTMay 28th 2019

A very helpful overview of business analytics; the past, the present and what could be expected in the future.

por JKMay 2nd 2019

Great introduction course for Business Analytics for any level of experienced professionals or students.

Instrutores

Avatar

Douglas B. Laney

Visiting Professor and Gartner VP & Distinguished Analyst
Accountancy and Business Administration

Comece a trabalhar rumo ao seu mestrado

Este curso é parte da graduação 100% on-line Master of Science in Accountancy (iMSA) da Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign. Caso seja aceito para o programa completo, seus cursos contarão para sua graduação.

Sobre Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em 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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