NUCB BUSINESS SCHOOL - Graduate School of Management

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  5. Competing on Business Analytics and Big Data

Competing on Business Analytics and Big Data

Competing on Business Analytics and Big Data

受付中 #100% in English #Deadline Dec 18(Sat)

Analytics and big data are the new frontier, circa 2021. They will be for a long time. AI, machine learning---all these terms will be de-mystified in this course. What is the analytics and big data frenzy all about? Each time we watch Netflix or a Tiktok, or merely walk around the mall with our smartphone (location: on), we are being big-data-dissected and “predicted,” i.e., led to what we need to buy or watch next, whether we like it or not. The business press has added to the frenzy with jargon like “Digitization,” “AI,” “algorithms,” etc. We are awed and blinded by the science. In this course students will learn about the foundations of data and analytics. We dive beneath the jargon into the how-tos and applications of analytics. We do practical in-class exercises on data analytics. We should no longer feel the intimidation. The class will get a brief refresher on the a few statistical concepts, and focus on two predictive tools, recommender systems and regression, the foundations for many big data applications. No worries, non-numeric people! We will simplify and get into the practical understanding. No, you will not be a data scientist from this course (do you really want to?), but you should be able to intelligently talk to, and even manage, data scientists. The class will then appreciate how analytics and big data fit into business models. Where do these fit on platforms and two-sided models like AirBnb and Uber? More generally, how does digitization enable business models? Finally, the class will study the limits to analytics and big data: of fake news, of information overload and bias, and information fatigue. (We will take recent incident like Gamestop and dissect what happened.)

申し込み締切日:

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Sustainability Acceleration

Certificate

Businesses today are faced with the challenge of collectively redefining the corporate ecosystem by focusing on how to create shared value for all stakeholders, present and future. This program equips business leaders with the tools they need to re-organize their firms toward new ideas of economic viability through environmental protection and social equity.
*Registrants of the course are required to submit a certificate of English proficiency (TOEIC score of 750 or higher) upon request.

  • トピック

    グローバル《英語》

  • 職種

    経営 / 経営企画

  • ポジション

    経営者 / 役員

  • 受講料

    78,000円

  • 言語

    English

  • フォーマット

    Virtual

開催日時
09:20〜16:40
09:20〜16:40
会場
オンライン
申し込み締切日

対象者
社会人 / 修了生 / 国際学生

講義計画

Day1

What is...? In class Exercise: Data Analytics Simulation: Strategic Decision Making 7050-HTM-ENG Stats refresher on Correlation and regression and Recommender Systems

Day2

Prepare: Telenor: Revolutionizing Retail Banking in Serbia IN1328 Analyze and discuss the Gamestop – Robinhood incident

使用ケース一覧

Day1

In class Exercise: Data Analytics Simulation: Strategic Decision Making 7050-HTM-ENG Read: Business Analytics at a Glance BEP 498 Read: Collaborative Filtering (RA Lim reading)

Day2

Case: Telenor: Revolutionizing Retail Banking in Serbia IN1328 Read: https://firstmonday.org/ojs/index.php/fm/article/view/738/647

教科書および参考文献

Textbooks

There is no set textbook for this course

関連科目

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