Об этом курсе: 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.
Автор: PwC
Преподаватели: Alex Mannella, Alumni / Former Principal
| Основные сведения | Course 1 of 5 in the Data Analysis and Presentation Skills: the PwC Approach Specialization |
| Уровень | Начинающий |
| Язык | English, Субтитры: Japanese |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
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 видео, 8 материала для самостоятельного изучения
- Видео: Welcome to Data Driven Decision Making
- Reading: Course overview and syllabus
- Reading: Updating your profile
- Discussion Prompt: Get to know your classmates and share your goals
- Видео: What is Data Analytics?
- Видео: Solving business problems using data analytics
- Reading: The value delivered by analytics
- Видео: Making business-defining decisions using data analytics
- Reading: PwC's Global Data and Analytics Survey 2016
- Видео: A Message from our Chief People Officer at PwC
- Видео: Why do you need a data and analytics framework?
- Видео: The 4 aspects of the data and analytics framework
- Reading: The data and analytics framework
- Видео: Data and analytics framework: tools and techniques
- Reading: Types of analytics
- Видео: Make better and faster decisions with data and analytics
- Discussion Prompt: Making better and faster decisions
- Видео: Data and analytics at PwC
- Reading: Careers and roles in a professional services firm
- Видео: Week 1 recap with Amity and Mike
- Reading: Learn more about PwC and our career opportunities
Оцениваемый: Week 1 Quiz
НЕДЕЛЯ 2
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 видео, 3 материала для самостоятельного изучения
- Discussion Prompt: Predicting the implications of technology advancements
- Видео: Business impacts of technology advancements and data trends
- Discussion Prompt: What technology advacements have changed your behaviors?
- Видео: What is Big Data?
- Reading: "Structured", "Semi-Structured", and "Unstructured" data
- Reading: Implications of unstructured data - Case studies
- Видео: PwC's perspective on big data
- Видео: Data and analytics examples at PwC
- Discussion Prompt: Data in action discussion
- Видео: Identifying, organizing and processing data
- Reading: Data tools and technologies
- Discussion Prompt: What is the value you can expect from emerging trends in big data?
- Видео: Week 2 recap with Amity and Mike
Оцениваемый: Week 2 Quiz
НЕДЕЛЯ 3
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.
9 видео, 1 материал для самостоятельного изучения
- Reading: Data analysis approaches and techniques
- Видео: The role of Excel
- Видео: The role of SAS
- Видео: The role of R
- Видео: The role of Python
- Видео: The Power of Visualization
- Видео: The role of Tableau
- Видео: The role of QlikView
- Discussion Prompt: What tools have you used?
- Видео: Week 3 recap with Amity and Mike
Оцениваемый: Week 3 quiz
НЕДЕЛЯ 4
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 видео, 2 материала для самостоятельного изучения
- Reading: Final course simulation
- Видео: Course recap with Amity and Mike
- Reading: Learn more about PwC and our career opportunities
Оцениваемый: Final course simulation quiz
Оцениваемый: Final Project and Peer Review with Feedback
Часто задаваемые вопросы
Как это работает
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Авторы
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.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
Excelente curso, muy bien dirigido y estructurado. El material provisto es de gran ayuda; los conceptos son fácilmente comprensibles incluso si no tienes experiencia previa en el tema.
Great Course. Give great overview of data analysis techniques and tools. Spending time on this course is worth.
I really appreciate the usage of theoretical knowledge practically with the help of simulations.
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
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PN
Great for basics in Data Analytics