Welcome to Data-driven Decision Making. In this course you'll get an introduction to Data Analytics and its role in business decisions. You'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you'll have a chance to put your knowledge to work in a simulated business setting.
Este curso faz parte do Programa de cursos integrados Data Analysis and Presentation Skills: the PwC Approach
Data-driven Decision Making
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Informações sobre o curso
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Resultados de carreira do aprendiz
36%
comecei uma nova carreira após concluir estes cursos
30%
consegui um benefício significativo de carreira com este curso
Habilidades que você terá
Data-Informed Decision-MakingBig DataData AnalysisData Visualization (DataViz)
Resultados de carreira do aprendiz
36%
comecei uma nova carreira após concluir estes cursos
30%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 11 horas para completar
Sugerido: 6 hours/week
Inglês
Legendas: Inglês, Coreano, Francês, Japonês
oferecido por
PwC
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.
Programa - O que você aprenderá com este curso
3 horas para concluir
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.
3 horas para concluir
12 vídeos (Total 58 mín.), 8 leituras, 1 teste
12 videos
Welcome to Data Driven Decision Making2min
What is Data Analytics?7min
Solving business problems using data analytics4min
Making business-defining decisions using data analytics4min
A Message from our Chief People Officer at PwC41s
Why do you need a data and analytics framework?3min
The 4 aspects of the data and analytics framework3min
Data and analytics framework: tools and techniques12min
Make better and faster decisions with data and analytics4min
Data and analytics at PwC5min
Week 1 recap with Amity and Mike1min
8 leituras
Course overview and syllabus10min
Updating your profile10min
The value delivered by analytics10min
PwC's Global Data and Analytics Survey 201610min
The data and analytics framework10min
Types of analytics10min
Careers and roles in a professional services firm20min
Learn more about PwC and our career opportunities10min
1 exercício prático
Week 1 Quiz15min
2 horas para concluir
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.
2 horas para concluir
7 vídeos (Total 53 mín.), 3 leituras, 1 teste
7 videos
Business impacts of technology advancements and data trends9min
What is Big Data?12min
PwC's perspective on big data5min
Data and analytics examples at PwC5min
Identifying, organizing and processing data7min
Week 2 recap with Amity and Mike1min
3 leituras
"Structured", "Semi-Structured", and "Unstructured" data10min
Implications of unstructured data - Case studies20min
Data tools and technologies10min
1 exercício prático
Week 2 Quiz15min
1 hora para concluir
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.
1 hora para concluir
8 vídeos (Total 38 mín.), 2 leituras, 1 teste
8 videos
The role of Excel3min
The role of SAS2min
The role of R6min
The role of Python5min
The Power of Visualization3min
The role of QlikView4min
Week 3 recap with Amity and Mike2min
2 leituras
Data analysis approaches and techniques10min
A Business Example of Data Visualization Tools10min
1 exercício prático
Week 3 quiz15min
2 horas para concluir
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 horas para concluir
2 vídeos (Total 5 mín.), 2 leituras, 2 testes
2 leituras
Final course simulation10min
Learn more about PwC and our career opportunities10min
1 exercício prático
Final course simulation quiz10min
Avaliações
Principais avaliações do DATA-DRIVEN DECISION MAKING
por CEMay 9, 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.
por AFAug 15, 2018
This is a great course in data and analytics for the every day professional. It gives great insight into how data and analytics can support decision making. The mode of delivery of the course is e
por DDOct 22, 2018
Good course to learn how to begin with any raw data we receive. To get a rough idea on where to get the data from? how to use them? and what analysis can we use to derive at a particular decision.
por RFOct 13, 2019
Great course for would be management analyst or those wanting to have a deeper look into the profession. PwC offers a concise and practical methodology useful in today's fast and data rich world.
por MSNov 7, 2017
Good basic level understanding of analytics. It would have been better to have studied some of the analytical techniques by doing practical problems, to get a better grasp of how exactly does the
por JJNov 13, 2018
What an excellent laid out course curriculum. Bite size learning, various mediums, understandable concepts applied to real life business cases made for a 100% take away and applied knowledge. We
por MVNov 16, 2017
An excellent course to get a high level overview of various tools- how things work in a professional consultancy- concise frameworks.\n\nGood for people who are just starting up with analytics.
por AMMar 20, 2017
It is a good introduction to data analytics techniques and methodologies. However, I think there is over-repetition of basic points which undermines the more subtle, yet significant, points.
por STJul 17, 2019
Informatice, a wise investment if one's time and effort. Get ready for the train to future. Its common sense to be future proof. Excellent and to the point communication by the instructors.
por CPApr 29, 2019
Great introduction to data analytics. This course is undeniably accessible and will help neophytes better understand how business decision making can strongly benefit from data analytics.
por ASep 19, 2018
It was an amazing course, learning from the top officials of PWC. I had a great experience. Anand sir had an amazing level of explanation. I would definitely recommend this course to all.
por DFFeb 12, 2018
This course offers great foundation to anyone who is starting out in data analytics field and it's really providing valuable insight that will set your mindset on right analytical track.
Sobre Programa de cursos integrados Data Analysis and Presentation Skills: the PwC Approach
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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