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다음 전문 분야의 4개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 9시간 필요

권장: 2 hours/week...

영어

자막: 영어
Course을(를) 수강하는 학습자
  • Data Analysts

    다음 전문 분야의 4개 강좌 중 4번째 강좌:

    100% 온라인

    지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

    유동적 마감일

    일정에 따라 마감일을 재설정합니다.

    완료하는 데 약 9시간 필요

    권장: 2 hours/week...

    영어

    자막: 영어

    강의 계획 - 이 강좌에서 배울 내용

    1
    완료하는 데 6시간 필요

    Introduction and step 1 : Define the analysis framework

    11개 동영상 (총 54분), 16 readings, 1 quiz
    11개의 동영상
    It's all about the story11m
    One slide, One idea4m
    A picture is worth a thousand words5m
    Recital M5 - How to present your findings10m
    Wrap-up: Reporting your results4m
    How to create value from data? - Fabrice Marque2m
    Wrap up - Mickael Svilar1m
    Data exploration is an iterative process - Nicolas Glady4m
    Analytics exploration - Oonagh O’Shea & Noelle Doody4m
    Wrap up & Capstone guidelines - Nicolas Glady2m
    16개의 읽기 자료
    Objective of the capstone10m
    Datasets used for the capstones10m
    Example deliverable 110m
    Example: Final deliverable10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Guidelines for watching the following video10m
    Optional ungraded peer review information10m
    2
    완료하는 데 2시간 필요

    Required assignement 1: Define the analysis framework

    1 reading, 1 quiz
    1개의 읽기 자료
    Assignment:Define the analysis framework.10m
    완료하는 데 20분 필요

    Required feed back on Delivery 1:Define the analysis framework and preparation of deliverable 2

    2 readings
    2개의 읽기 자료
    This week is dedicated to the required feed back on deliverable 1>>10m
    Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework10m
    3
    완료하는 데 2시간 필요

    Practice for Deliverable 2

    1 reading, 1 quiz
    1개의 읽기 자료
    Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework10m
    4
    완료하는 데 2시간 필요

    Required assignement 2: Present the intermediary outputs and adjustments to the analysis framework

    1 quiz
    완료하는 데 20분 필요

    Required feedback for delivery 2 and preparation of delivery 3

    2 readings
    2개의 읽기 자료
    This week is dedicated to the required feedback on delivery 210m
    Prepare deliverable 3: Present the final outputs and value case10m
    3.6
    8개의 리뷰Chevron Right

    50%

    이 강좌를 통해 확실한 경력상 이점 얻기

    Capstone: Create Value from Open Data의 최상위 리뷰

    대학: NPMay 24th 2019

    Great specialization! I my opinion it's the best business analytics MOOC. By far.

    강사

    Avatar

    Nicolas Glady

    Associate professor, at ESSEC Business School
    Marketing Department

    ESSEC 경영 대학원 정보

    For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. Its ultimate goal? To create a global world that has meaning for us all. ...

    Strategic Business Analytics 전문 분야 정보

    This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing....
    Strategic Business Analytics

    자주 묻는 질문

    • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

    • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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