Este curso forma parte de Programa especializado: Introduction to Business Analytics and Information Economics

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Douglas B. Laney

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Programa especializado: Introduction to Business Analytics and Information EconomicsUniversidad de Illinois en Urbana-Champaign

Acerca de este Curso

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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. 
This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, 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. And the course will wrap up with a discussion of analytics trends and futures.

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Curso 1 de 4 en

Programa especializado: Introduction to Business Analytics and Information Economics

Nivel intermedio

Aprox. 17 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 1 de 4 en

Programa especializado: Introduction to Business Analytics and Information Economics

Nivel intermedio

Aprox. 17 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructor

Calificación del instructor

4,56/5 (56 calificaciones)

Douglas B. Laney

Visiting Professor, and Innovation Fellow at West Monroe Partners

Accountancy and Business Administration

23.543 alumnos

4 cursos

Ofrecido por

Universidad de Illinois en Urbana-Champaign

Comienza a trabajar para obtener tu maestría

Este curso es parte del Master of Computer Science completamente en línea de Universidad de Illinois en Urbana-Champaign. Si te aceptan en el programa completo, tus cursos cuentan para tu título de grado.

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Programa - Qué aprenderás en este curso

Semana

Semana 1

6 horas para completar

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 horas para completar

18 videos (Total 98 minutos), 8 lecturas, 2 cuestionarios

18 videos

Course Introduction39s

Meet Instructor Doug Laney1m

Learn on Your Terms30s

Lesson 1-1 Overview of Analytics5m

Lesson 1-2 Beyond Basic Business Intelligence6m

Lesson 1-3-1 The Analytics Continuum7m

Lesson 1-3-2 Analytic Output6m

Lecture 1-3-3 Basic Analytic Techniques2m

Lecture 1-4 Analytic Graphical Representation (Visualization)11m

Interview with Kevin Hartman14m

Lecture 1-5-1 Key Analytics Concepts to Know (Data Literacy)32s

Lecture 1-5-2 Data, What Data? (Sources of Data)5m

Lecture 1-5-3 Where to Put the Data and How to Get it There?8m

Lecture 1-5-4 Analytic Methods, Techniques and Concepts6m

Lecture 1-5-5 Other Data Concepts4m

Lecture 1-6-1 Purpose-Built Analytic Solutions17s

Lecture 1-6-2 Data-specific Analytic Solutions4m

Lecture 1-6-3 Business Function-Specific Analytics8m

8 lecturas

Syllabus20m

About the Discussion Forums10m

Glossary20m

Brand Descriptions20m

Update Your Profile10m

Learn More About Flexible Learning Paths10m

Module 1 Overview20m

Module 1 Readings2h

2 ejercicios de práctica

Orientation Quiz30m

Module 1 Graded Quiz30m

Semana

Semana 2

3 horas para completar

Module 2 Industry and Business Function Analytics

3 horas para completar

11 videos (Total 66 minutos), 2 lecturas, 1 cuestionario

11 videos

Module 2 Overview2m

Lecture 2-1 Banking and Financial Institution Examples6m

Lecture 2-2 Insurance Examples3m

Lecture 2-3 Retail Examples7m

Lecture 2-4 Manufacturing, Consumer Package Goods Examples5m

Lecture 2-5 Energy Sector Examples7m

Lecture 2-6 Telecommunications Examples3m

Lecture 2-7 Government and the Public Sector Examples10m

Lecture 2-8 Healthcare Examples6m

Lecture 2-9 Sports and Entertainment Examples4m

Lecture 2-10 Other Examples7m

2 lecturas

Module 2 Overview20m

Module 2 Readings1h 30m

1 ejercicio de práctica

Module 2 Graded Quiz30m

Semana

Semana 3

4 horas para completar

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 horas para completar

11 videos (Total 74 minutos), 2 lecturas, 2 cuestionarios

11 videos

Module 3 Overview28s

Lecture 3-1 The Chief Information Officer (CIO)3m

Lecture 3-2 The Chief Data Officer (CDO)7m

Lecture 3-3 Chief Digital Officer2m

Lecture 3-4 The Chief Analytics Officer (CAO)3m

Lecture 3-5 The Data Scientist8m

Lecture 3-6 Data Scientist Soft Skills4m

Lecture 3-7 Other Analytics Related Roles9m

Lecture 3-8 The Analytics Center of Excellence4m

Lecture 3-9 Analytics Consulting and Crowdsourcing5m

Interview with Graham Waller23m

2 lecturas

Module 3 Overview20m

Module 3 Readings1h

1 ejercicio de práctica

Module 3 Graded Quiz30m

Semana

Semana 4

3 horas para completar

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 horas para completar

15 videos (Total 57 minutos), 4 lecturas, 1 cuestionario

15 videos

Lecture 4-1-1 Analytics Maturity2m

Lecture 4-1-2 Analytics Maturity Levels3m

Lecture 4-1-3 Key Maturity Disciplines3m

Lecture 4-2 Analytics Success Factors11m

Lecture 4-3-0 Analytics Trends and Futures41s

Lecture 4-3-1 Analytics as a Corporate Strategy2m

Lecture 4-3-2 Data Literacy3m

Lecture 4-3-3 Valuing Information Assets4m

Lecture 4-3-4 A Data Science and AI Ethical Code of Conduct4m

Lecture 4-3-5 Continuous Intelligence2m

Lecture 4-3-6 Reinventing, Digitalizing and Eliminating Business Offerings2m

Lecture 4-3-7 AI will Struggle to Scale in the Organization3m

Lecture 4-3-8 Most Analytic Insights Will Fail to Deliver Business Value3m

Lecture 4-3-9 Quantum Computing Will Start to Outperform Traditional Analytics Computing4m

Gies Online Programs3m

4 lecturas

Module 4 Overview20m

Module 4 Readings1h

Congratulations!10m

Get Your Course Certificate10m

1 ejercicio de práctica

Module 4 Graded Quiz30m

Reseñas

4.6

60 reseña

5 stars
70,81 %
4 stars
22,95 %
3 stars
4,28 %
2 stars
0,77 %
1 star
1,16 %

Principales reseñas sobre BUSINESS ANALYTICS EXECUTIVE OVERVIEW

por CJ14 de mar. de 2021

For a person who does not have much knowledge about Data Analytics, it was very well explained and presented.

por S29 de jul. de 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.

por VS23 de jul. de 2020

It is really easy to learn and helped me to understand the subject very well

Thank you

Best Regards

Vandana

por S15 de may. de 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.

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Acerca de Programa especializado: 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.

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.

Introduction to Business Analytics and Information Economics

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Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
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Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.

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Business Analytics Executive Overview

Acerca de este Curso

Instructor

Douglas B. Laney

Ofrecido por

Universidad de Illinois en Urbana-Champaign

Comienza a trabajar para obtener tu maestría

Programa - Qué aprenderás en este curso

Course Overview & Module 1 Analytics Beyond the Spreadsheet

Module 2 Industry and Business Function Analytics

Module 3 Staffing and Organizing for Analytics

Module 4 Analytics Success Today and Tomorrow

Reseñas

Principales reseñas sobre BUSINESS ANALYTICS EXECUTIVE OVERVIEW

Acerca de Programa especializado: Introduction to Business Analytics and Information Economics

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Business Analytics Executive Overview

Acerca de este Curso

Instructor

Douglas B. Laney

Ofrecido por

Universidad de Illinois en Urbana-Champaign

Comienza a trabajar para obtener tu maestría

Programa - Qué aprenderás en este curso

Course Overview & Module 1 Analytics Beyond the Spreadsheet

Module 2 Industry and Business Function Analytics

Module 3 Staffing and Organizing for Analytics

Module 4 Analytics Success Today and Tomorrow

Reseñas

Principales reseñas sobre BUSINESS ANALYTICS EXECUTIVE OVERVIEW

Acerca de Programa especializado: Introduction to Business Analytics and Information Economics

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