About this Course
최근 조회 160,638

다음 전문 분야의 1개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 11시간 필요

권장: 6 hours/week...

영어

자막: 영어, 프랑스어, 일본어

귀하가 습득할 기술

Data-Informed Decision-MakingBig DataData AnalysisData Visualization (DataViz)

다음 전문 분야의 1개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 11시간 필요

권장: 6 hours/week...

영어

자막: 영어, 프랑스어, 일본어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 3시간 필요

Introduction to Data Analytics

In this module you'll learn the basics of data analytics and how businesses use to solve problems. You'll learn the value data analytics brings to business decision-making processes. We’ll introduce you to a framework for data analysis and tools used in data analytics. Finally, we’re going to talk about careers and roles in data analytics and data science.

...
12 videos (Total 58 min), 8 readings, 1 quiz
12개의 동영상
Solving business problems using data analytics4m
Making business-defining decisions using data analytics4m
A Message from our Chief People Officer at PwC41
Why do you need a data and analytics framework?3m
The 4 aspects of the data and analytics framework3m
Data and analytics framework: tools and techniques12m
Make better and faster decisions with data and analytics4m
Data and analytics at PwC5m
Week 1 recap with Amity and Mike1m
8개의 읽기 자료
Course overview and syllabus10m
Updating your profile10m
The value delivered by analytics10m
PwC's Global Data and Analytics Survey 201610m
The data and analytics framework10m
Types of analytics10m
Careers and roles in a professional services firm20m
Learn more about PwC and our career opportunities10m
1개 연습문제
Week 1 Quiz15m
2
완료하는 데 2시간 필요

Technology and types of data

This module is an introductory look at big data and big data analytics where you will learn the about different types of data. We’ll also introduce you to PwC's perspective on big data and explain the impact of big data on businesses. Finally we will name some of the different types of tools and technologies used to gather data.

...
7 videos (Total 53 min), 3 readings, 1 quiz
7개의 동영상
PwC's perspective on big data5m
Data and analytics examples at PwC5m
Identifying, organizing and processing data7m
Week 2 recap with Amity and Mike1m
3개의 읽기 자료
"Structured", "Semi-Structured", and "Unstructured" data10m
Implications of unstructured data - Case studies20m
Data tools and technologies10m
1개 연습문제
Week 2 Quiz15m
3
완료하는 데 1시간 필요

Data analysis techniques and tools

In this module we will describe some of the tools for data analytics and some of the key technologies for data analysis. We will talk about how visualization is important to the practice of data analytics. Finally we will identify a variety of tools and languages used and consider when those tools are best used.

...
8 videos (Total 38 min), 2 readings, 1 quiz
8개의 동영상
The role of R6m
The role of Python5m
The Power of Visualization3m
The role of QlikView4m
Week 3 recap with Amity and Mike2m
2개의 읽기 자료
Data analysis approaches and techniques10m
A Business Example of Data Visualization Tools10m
1개 연습문제
Week 3 quiz15m
4
완료하는 데 2시간 필요

Data-driven decision making project

The course project will give you an opportunity to practice what you have learned. You will participate in a simulated business situation in which you will select the best course of action. You will then prepare a final deliverable which will be evaluated by your peers. Additionally, you will have the opportunity to provide feedback on your peer's submissions.

...
2 videos (Total 5 min), 2 readings, 2 quizzes
2개의 읽기 자료
Final course simulation10m
Learn more about PwC and our career opportunities10m
1개 연습문제
Final course simulation quiz10m
4.6
666개의 리뷰Chevron Right

35%

이 강좌를 수료한 후 새로운 경력 시작하기

30%

이 강좌를 통해 확실한 경력상 이점 얻기

Data-driven Decision Making의 최상위 리뷰

대학: JQMay 27th 2017

Congratulation is a great course, a Professional level.\n\nThank you PwC for share the experience of the HUMAN TALENT.\n\nThank to the instructors a really great course.\n\nThank you and God bless you

대학: CEMay 10th 2018

Great high-level introduction into what big data is, how data & analytics is impacting business decision making, and how PwC uses data & analytics to improve the quality of work delivered to clients.

강사

Avatar

Alex Mannella

Alumni / Former Principal

PwC 정보

With offices in 157 countries and more than 208,000 people, PwC is among the leading professional services networks in the world. Our purpose is to build trust in society and solve important problems. We help organisations and individuals create the value they’re looking for, by delivering quality in assurance, tax and advisory services. ...

Data Analysis and Presentation Skills: the PwC Approach 전문 분야 정보

If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on the PwC L&D Spark page or simply search "Coursera" on PwC Spark. This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You’ll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we'll help you to present data to others in a way that gets them engaged in your story and motivated to act. What's more, should you enroll in these courses, you will be invited to join PwC's talent network. Those who opt into this talent network will receive information about PwC career opportunities, thought leadership, and happenings in the PwC global network. Please note: If you'd like to audit the courses in this Specialization, you'll need to enroll in each course separately and then you will see the audit option. This specialization was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017....
Data Analysis and Presentation Skills: the PwC Approach

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.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.