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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Data Analysis and Presentation Skills: the PwC Approach
Data-driven Decision Making
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114,624Kompetenzen, die Sie erwerben
Data-Informed Decision-MakingBig DataData AnalysisData Visualization (DataViz)
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
13 Stunden zum Abschließen
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 (Gesamt 58 min), 8 Lektüren, 1 Quiz
12 Videos
Welcome to Data Driven Decision Making2m
What is Data Analytics?7m
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
8 Lektüren
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
1 praktische Übung
Week 1 Quiz15m
Woche
22 Stunden zum Abschließen
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 (Gesamt 53 min), 3 Lektüren, 1 Quiz
7 Videos
Business impacts of technology advancements and data trends9m
What is Big Data?12m
PwC's perspective on big data5m
Data and analytics examples at PwC5m
Identifying, organizing and processing data7m
Week 2 recap with Amity and Mike1m
3 Lektüren
"Structured", "Semi-Structured", and "Unstructured" data10m
Implications of unstructured data - Case studies20m
Data tools and technologies10m
1 praktische Übung
Week 2 Quiz15m
Woche
31 Stunde zum Abschließen
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 (Gesamt 38 min), 2 Lektüren, 1 Quiz
8 Videos
The role of Excel3m
The role of SAS2m
The role of R6m
The role of Python5m
The Power of Visualization3m
The role of QlikView4m
Week 3 recap with Amity and Mike2m
2 Lektüren
Data analysis approaches and techniques10m
A Business Example of Data Visualization Tools10m
1 praktische Übung
Week 3 quiz15m
Woche
42 Stunden zum Abschließen
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 (Gesamt 5 min), 2 Lektüren, 2 Quiz
2 Lektüren
Final course simulation10m
Learn more about PwC and our career opportunities10m
1 praktische Übung
Final course simulation quiz10m
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Top-Bewertungen
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
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.
Dozent
Alex Mannella
Alumni / Former PrincipalÜber 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.
Über die Spezialisierung 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.
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Was bekomme ich, wenn ich diese Spezialisierung abonniere?
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