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.
本課程是 Data Analysis and Presentation Skills: the PwC Approach 專項課程 專項課程的一部分
Data-driven Decision Making
提供方
課程信息
4.6
2,813 個評分
您將獲得的技能
Data-Informed Decision-MakingBig DataData AnalysisData Visualization (DataViz)
教學大綱 - 您將從這門課程中學到什麼
週
1Introduction 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 個視頻（共 58 分鐘）, 8 個閱讀材料, 1 個測驗
12 個視頻
Welcome to Data Driven Decision Making2分鐘
What is Data Analytics?7分鐘
Solving business problems using data analytics4分鐘
Making business-defining decisions using data analytics4分鐘
A Message from our Chief People Officer at PwC分鐘
Why do you need a data and analytics framework?3分鐘
The 4 aspects of the data and analytics framework3分鐘
Data and analytics framework: tools and techniques12分鐘
Make better and faster decisions with data and analytics4分鐘
Data and analytics at PwC5分鐘
Week 1 recap with Amity and Mike1分鐘
8 個閱讀材料
Course overview and syllabus10分鐘
Updating your profile10分鐘
The value delivered by analytics10分鐘
PwC's Global Data and Analytics Survey 201610分鐘
The data and analytics framework10分鐘
Types of analytics10分鐘
Careers and roles in a professional services firm20分鐘
Learn more about PwC and our career opportunities10分鐘
1 個練習
Week 1 Quiz15分鐘
週
2Technology 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 個視頻（共 53 分鐘）, 3 個閱讀材料, 1 個測驗
7 個視頻
Business impacts of technology advancements and data trends9分鐘
What is Big Data?12分鐘
PwC's perspective on big data5分鐘
Data and analytics examples at PwC5分鐘
Identifying, organizing and processing data7分鐘
Week 2 recap with Amity and Mike1分鐘
3 個閱讀材料
"Structured", "Semi-Structured", and "Unstructured" data10分鐘
Implications of unstructured data - Case studies20分鐘
Data tools and technologies10分鐘
1 個練習
Week 2 Quiz15分鐘
週
3Data 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 個視頻（共 43 分鐘）, 1 個閱讀材料, 1 個測驗
9 個視頻
The role of Excel3分鐘
The role of SAS2分鐘
The role of R6分鐘
The role of Python5分鐘
The Power of Visualization3分鐘
The role of Tableau5分鐘
The role of QlikView4分鐘
Week 3 recap with Amity and Mike2分鐘
1 個閱讀材料
Data analysis approaches and techniques10分鐘
1 個練習
Week 3 quiz15分鐘
週
4Data-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 個視頻（共 5 分鐘）, 2 個閱讀材料, 2 個測驗
2 個閱讀材料
Final course simulation10分鐘
Learn more about PwC and our career opportunities10分鐘
1 個練習
Final course simulation quiz10分鐘
4.6
29%
83%
10%
熱門審閱
創建者 JQ•May 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
創建者 CE•May 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.
講師
Alex Mannella
Alumni / Former Principal關於 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.
關於 Data Analysis and Presentation Skills: the PwC Approach 專項課程
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.
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