Data-driven Decision Making

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Data-driven Decision Making

Name: Data-driven Decision Making
Rating: 4.5979298075367945 (6183 reviews)

This course is part of Data Analysis and Presentation Skills: the PwC Approach Specialization

Instructor: Alex Mannella

202,969 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

6,183 reviews

Beginner level

No prior experience required

Flexible schedule

9 hours to complete

Learn at your own pace

97%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

6,183 reviews

Beginner level

No prior experience required

Flexible schedule

9 hours to complete

Learn at your own pace

97%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Microsoft Excel

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

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This course is part of the Data Analysis and Presentation Skills: the PwC Approach Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

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.

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. Note: Video transcripts are auto generated and may contain spelling and punctuation errors.

What's included

11 videos8 readings1 assignment2 discussion prompts

11 videos Total 57 minutes

Specialization overview 7 minutes
Welcome to Data Driven Decision Making 3 minutes
What is Data Analytics? 7 minutes
Solving business problems using data analytics 5 minutes
Making business-defining decisions using data analytics 4 minutes
Why do you need a data and analytics framework? 4 minutes
The 4 aspects of the data and analytics framework 4 minutes
Data and analytics framework: tools and techniques 12 minutes
Make better and faster decisions with data and analytics 4 minutes
Data and analytics at PwC 6 minutes
Week 1 recap with Amity and Mike 1 minute

8 readings Total 90 minutes

Course overview and syllabus 10 minutes
Updating your profile 10 minutes
The value delivered by analytics 10 minutes
PwC's Global Data and Analytics Survey 2016 10 minutes
The data and analytics framework 10 minutes
Types of analytics 10 minutes
Careers and roles in a professional services firm 20 minutes
Learn more about PwC and our career opportunities 10 minutes

1 assignment Total 15 minutes

Week 1 Quiz 15 minutes

2 discussion prompts Total 20 minutes

Get to know your classmates and share your goals 10 minutes
Making better and faster decisions 10 minutes

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.

What's included

7 videos3 readings1 assignment4 discussion prompts

7 videos Total 53 minutes

The marketplace and emerging trends in big data analytics 11 minutes
Business impacts of technology advancements and data trends 9 minutes
What is Big Data? 12 minutes
PwC's perspective on big data 6 minutes
Data and analytics examples at PwC 5 minutes
Identifying, organizing and processing data 8 minutes
Week 2 recap with Amity and Mike 2 minutes

3 readings Total 40 minutes

"Structured", "Semi-Structured", and "Unstructured" data 10 minutes
Implications of unstructured data - Case studies 20 minutes
Data tools and technologies 10 minutes

1 assignment Total 15 minutes

Week 2 Quiz 15 minutes

4 discussion prompts Total 40 minutes

Predicting the implications of technology advancements 10 minutes
What technology advacements have changed your behaviors? 10 minutes
Data in action discussion 10 minutes
What is the value you can expect from emerging trends in big data? 10 minutes

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.

What's included

8 videos2 readings1 assignment1 discussion prompt

8 videos Total 38 minutes

Types of data analysis techniques 10 minutes
The role of Excel 3 minutes
The role of SAS 2 minutes
The role of R 6 minutes
The role of Python 6 minutes
The Power of Visualization 4 minutes
The role of QlikView 5 minutes
Week 3 recap with Amity and Mike 2 minutes

2 readings Total 20 minutes

Data analysis approaches and techniques 10 minutes
A Business Example of Data Visualization Tools 10 minutes

1 assignment Total 15 minutes

Week 3 quiz 15 minutes

1 discussion prompt Total 10 minutes

What tools have you used? 10 minutes

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.

What's included

2 videos2 readings1 assignment1 peer review

2 videos Total 5 minutes

Intro to Week 4 and Course Project 2 minutes
Course recap with Amity and Mike 3 minutes

2 readings Total 20 minutes

Final course simulation 10 minutes
Learn more about PwC and our career opportunities 10 minutes

1 assignment Total 10 minutes

Final course simulation quiz 10 minutes

1 peer review Total 90 minutes

Final Project and Peer Review with Feedback 90 minutes

Earn a career certificate

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Instructor

Instructor ratings

(642 ratings)

Alex Mannella

PwC

5 Courses 395,705 learners

Offered by

PwC

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Showing 3 of 6183

Reviewed on Nov 16, 2017

An excellent course to get a high level overview of various tools- how things work in a professional consultancy- concise frameworks.Good for people who are just starting up with analytics.

Reviewed on May 29, 2020

Great course for anyone who wants to learn the frameworks for problem solving with data, and for those who want to learn about the use cases of tools like Python, R, SAS, and many other tools

Reviewed on Oct 3, 2016

The course is very usefull for finding more about data analytics for making faster and better decisions for business. Thank PWC for giving me this course, it will help me much for my career.

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.