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.
이 강좌는 Introduction to Business Analytics and Information Economics 특화 과정의 일부입니다.
12,017명이 이미 등록했습니다.
제공자:
Introduction to Business Analytics and Information Economics 특화 과정일리노이대학교 어버너-섐페인캠퍼스이 강좌에 대하여
최근 조회 11,547회
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다음 특화 과정의 4개 강좌 중 1번째 강좌:
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영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어
유동적 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 1번째 강좌:
중급 단계
완료하는 데 약 17시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 이탈리아어, 베트남어, 독일어, 러시아어, 영어, 스페인어
제공자:
일리노이대학교 어버너-섐페인캠퍼스
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.
석사 학위 취득 시작
이 강좌은(는) 일리노이대학교 어버너-섐페인캠퍼스의 100% 온라인 Master of Science in Accountancy (iMSA) 중 일부입니다.
전체 프로그램을 수료하면 귀하의 강좌가 학위 취득에 반영됩니다.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 6시간 필요
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.
완료하는 데 6시간 필요
17개 동영상 (총 97분), 7 개의 읽기 자료, 2 개의 테스트
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
11개 동영상 (총 66분), 2 개의 읽기 자료, 1 개의 테스트
완료하는 데 4시간 필요
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.
완료하는 데 4시간 필요
11개 동영상 (총 74분), 2 개의 읽기 자료, 2 개의 테스트
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
15개 동영상 (총 57분), 3 개의 읽기 자료, 1 개의 테스트
검토
BUSINESS ANALYTICS EXECUTIVE OVERVIEW의 최상위 리뷰
S 제공2020년 7월 29일
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.
EC 제공2020년 11월 1일
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.
EM 제공2019년 6월 19일
Definetly a source for present day information and upcoming trends in analytics. This professor definetly can offer a new comers guide to data analytics.
S 제공2020년 5월 15일
knowledgeable and a lot of insight towards the role of analytics in the business world and in a nations economy and its different elements.
Introduction to Business Analytics and Information Economics 특화 과정 정보
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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