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. This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.
Этот курс входит в специализацию ''Специализация Data Analysis and Presentation Skills: the PwC Approach'
Data-driven Decision Making
от партнера
Об этом курсе
Недавно просмотрено: 141,591
Learner Career Outcomes
36%
начал новую карьеру, пройдя эти курсы
30%
получил значимые преимущества в карьере благодаря этому курсу
Приобретаемые навыки
Data-Informed Decision-MakingBig DataData AnalysisData Visualization (DataViz)
Learner Career Outcomes
36%
начал новую карьеру, пройдя эти курсы
30%
получил значимые преимущества в карьере благодаря этому курсу
100% онлайн
Начните сейчас и учитесь по собственному графику.
Курс 1 из 5 в программе
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Начальный уровень
Прибл. 11 часа на выполнение
Предполагаемая нагрузка: 6 hours/week
Английский
Субтитры: Английский, Корейский, Французский, Японский
Программа курса: что вы изучите
3 ч. на завершение
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 ч. на завершение
12 видео ((всего 58 мин.)), 8 материалов для самостоятельного изучения, 1 тест
12 видео
Welcome to Data Driven Decision Making2мин
What is Data Analytics?7мин
Solving business problems using data analytics4мин
Making business-defining decisions using data analytics4мин
A Message from our Chief People Officer at PwC41
Why do you need a data and analytics framework?3мин
The 4 aspects of the data and analytics framework3мин
Data and analytics framework: tools and techniques12мин
Make better and faster decisions with data and analytics4мин
Data and analytics at PwC5мин
Week 1 recap with Amity and Mike1мин
8 материала для самостоятельного изучения
Course overview and syllabus10мин
Updating your profile10мин
The value delivered by analytics10мин
PwC's Global Data and Analytics Survey 201610мин
The data and analytics framework10мин
Types of analytics10мин
Careers and roles in a professional services firm20мин
Learn more about PwC and our career opportunities10мин
1 практическое упражнение
Week 1 Quiz15мин
2 ч. на завершение
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 ч. на завершение
7 видео ((всего 53 мин.)), 3 материалов для самостоятельного изучения, 1 тест
7 видео
Business impacts of technology advancements and data trends9мин
What is Big Data?12мин
PwC's perspective on big data5мин
Data and analytics examples at PwC5мин
Identifying, organizing and processing data7мин
Week 2 recap with Amity and Mike1мин
3 материала для самостоятельного изучения
"Structured", "Semi-Structured", and "Unstructured" data10мин
Implications of unstructured data - Case studies20мин
Data tools and technologies10мин
1 практическое упражнение
Week 2 Quiz15мин
1 ч. на завершение
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 ч. на завершение
8 видео ((всего 38 мин.)), 2 материалов для самостоятельного изучения, 1 тест
8 видео
The role of Excel3мин
The role of SAS2мин
The role of R6мин
The role of Python5мин
The Power of Visualization3мин
The role of QlikView4мин
Week 3 recap with Amity and Mike2мин
2 материала для самостоятельного изучения
Data analysis approaches and techniques10мин
A Business Example of Data Visualization Tools10мин
1 практическое упражнение
Week 3 quiz15мин
2 ч. на завершение
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 ч. на завершение
2 видео ((всего 5 мин.)), 2 материалов для самостоятельного изучения, 2 тестов
2 материала для самостоятельного изучения
Final course simulation10мин
Learn more about PwC and our career opportunities10мин
1 практическое упражнение
Final course simulation quiz10мин
Лучшие отзывы о курсе Data-driven Decision Making
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.
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
Преподаватели
Alex Mannella
Alumni / Former PrincipalО 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.
Специализация Data Analysis and Presentation Skills: the PwC Approach: общие сведения
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.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.
Что я получу, оформив подписку на специализацию?
Записавшись на курс, вы получите доступ ко всем курсам в специализации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.
Какие правила возврата средств?
Можно ли получить финансовую помощь?
Остались вопросы? Посетите Центр поддержки учащихся.
© Coursera Inc., 2020 Все права защищены.
