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Business Analytics Executive Overview · LearnSpace
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Business Analytics Executive Overview

Курс от University of Illinois Urbana-Champaign
Средний≈ 17.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

AnalyticsBusiness AnalyticsData VisualizationData ScienceData AnalysisData PresentationData WarehousingBusiness IntelligenceData-Driven Decision-MakingCase StudiesPredictive Analytics

Программа курса

4 модулей · 78 учебных материалов

01Course Overview & Module 1 Analytics Beyond the Spreadsheet29 материалов

About the Course and Your Classmates

Course IntroductionВидеоMeet Instructor Doug LaneyВидеоSyllabusЧтениеAbout the Discussion ForumsЧтение

Учитесь у экспертов

Douglas B. Laney

Adjunct Clinical Assistant Professor of Accountancy

Business Analytics Executive Overview
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Обучение на Coursera

≈ 17.4 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Ория, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
GlossaryЧтение
Brand DescriptionsЧтение
Update Your ProfileЧтение
Orientation QuizЗадание
Online Education at Gies College of BusinessЧтение
Learn on Your TermsВидео
Congratulations on Completing the Course!Чтение

Module 1 Overview

Module 1 OverviewЧтениеModule 1 ReadingsЧтение

Module 1 Lectures

Lesson 1-1 Overview of AnalyticsВидеоLesson 1-2 Beyond Basic Business IntelligenceВидеоLesson 1-3-1 The Analytics ContinuumВидеоLesson 1-3-2 Analytic OutputВидеоLecture 1-3-3 Basic Analytic TechniquesВидеоLecture 1-4 Analytic Graphical Representation (Visualization)ВидеоInterview with Kevin HartmanВидеоLecture 1-5-1 Key Analytics Concepts to Know (Data Literacy)ВидеоLecture 1-5-2 Data, What Data? (Sources of Data)ВидеоLecture 1-5-3 Where to Put the Data and How to Get it There?ВидеоLecture 1-5-4 Analytic Methods, Techniques and ConceptsВидеоLecture 1-5-5 Other Data ConceptsВидеоLecture 1-6-1 Purpose-Built Analytic SolutionsВидеоLecture 1-6-2 Data-specific Analytic SolutionsВидеоLecture 1-6-3 Business Function-Specific AnalyticsВидео

Module 1 Graded Activities

Module 1 Graded QuizЗадание
02Module 2 Industry and Business Function Analytics 14 материалов

Module 2 Overview

Module 2 OverviewЧтениеModule 2 ReadingsЧтение

Module 2 Lectures

Module 2 OverviewВидеоLecture 2-1 Banking and Financial Institution ExamplesВидеоLecture 2-2 Insurance ExamplesВидеоLecture 2-3 Retail ExamplesВидеоLecture 2-4 Manufacturing, Consumer Package Goods ExamplesВидеоLecture 2-5 Energy Sector ExamplesВидеоLecture 2-6 Telecommunications ExamplesВидеоLecture 2-7 Government and the Public Sector ExamplesВидеоLecture 2-8 Healthcare ExamplesВидеоLecture 2-9 Sports and Entertainment ExamplesВидеоLecture 2-10 Other ExamplesВидео

Module 2 Graded Activities

Module 2 Graded QuizЗадание
03Module 3 Staffing and Organizing for Analytics 15 материалов

Module 3 Overview

Module 3 OverviewЧтениеModule 3 ReadingsЧтение

Module 3 Lectures

Module 3 OverviewВидеоLecture 3-1 The Chief Information Officer (CIO)ВидеоLecture 3-2 The Chief Data Officer (CDO)ВидеоLecture 3-3 Chief Digital OfficerВидеоLecture 3-4 The Chief Analytics Officer (CAO)ВидеоLecture 3-5 The Data ScientistВидеоLecture 3-6 Data Scientist Soft SkillsВидеоLecture 3-7 Other Analytics Related RolesВидеоLecture 3-8 The Analytics Center of ExcellenceВидеоLecture 3-9 Analytics Consulting and CrowdsourcingВидеоInterview with Graham WallerВидео

Module 3 Graded Activities

Module 3 Peer Reviewed AssignmentВзаимная проверкаModule 3 Graded QuizЗадание
04Module 4 Analytics Success Today and Tomorrow20 материалов

Module 4 Overview

Module 4 OverviewЧтениеModule 4 ReadingsЧтение

Module 4 Lectures

Lecture 4-1-1 Analytics MaturityВидеоLecture 4-1-2 Analytics Maturity LevelsВидеоLecture 4-1-3 Key Maturity DisciplinesВидеоLecture 4-2 Analytics Success FactorsВидеоLecture 4-3-0 Analytics Trends and FuturesВидеоLecture 4-3-1 Analytics as a Corporate StrategyВидеоLecture 4-3-2 Data LiteracyВидеоLecture 4-3-3 Valuing Information AssetsВидеоLecture 4-3-4 A Data Science and AI Ethical Code of ConductВидеоLecture 4-3-5 Continuous IntelligenceВидеоLecture 4-3-6 Reinventing, Digitalizing and Eliminating Business OfferingsВидеоLecture 4-3-7 AI will Struggle to Scale in the OrganizationВидеоLecture 4-3-8 Most Analytic Insights Will Fail to Deliver Business ValueВидеоLecture 4-3-9 Quantum Computing Will Start to Outperform Traditional Analytics ComputingВидео

Module 4 Graded Activities

Module 4 Graded QuizЗаданиеCongratulations on completing the course!ЧтениеGet Your Course CertificateЧтениеEnd of Course surveyPLUGIN