Data-driven Decision Making

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Data-driven Decision Making

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

Instructor: Alex Mannella

203,433 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

6,184 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.

6,184 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
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

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 videosTotal 57 minutes

Specialization overview7 minutes
Welcome to Data Driven Decision Making3 minutes
What is Data Analytics?7 minutes
Solving business problems using data analytics5 minutes
Making business-defining decisions using data analytics4 minutes
Why do you need a data and analytics framework?4 minutes
The 4 aspects of the data and analytics framework4 minutes
Data and analytics framework: tools and techniques12 minutes
Make better and faster decisions with data and analytics4 minutes
Data and analytics at PwC6 minutes
Week 1 recap with Amity and Mike1 minute

8 readingsTotal 90 minutes

Course overview and syllabus10 minutes
Updating your profile10 minutes
The value delivered by analytics10 minutes
PwC's Global Data and Analytics Survey 201610 minutes
The data and analytics framework10 minutes
Types of analytics10 minutes
Careers and roles in a professional services firm20 minutes
Learn more about PwC and our career opportunities10 minutes

1 assignmentTotal 15 minutes

Week 1 Quiz15 minutes

2 discussion promptsTotal 20 minutes

Get to know your classmates and share your goals10 minutes
Making better and faster decisions10 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 videosTotal 53 minutes

The marketplace and emerging trends in big data analytics11 minutes
Business impacts of technology advancements and data trends9 minutes
What is Big Data?12 minutes
PwC's perspective on big data6 minutes
Data and analytics examples at PwC5 minutes
Identifying, organizing and processing data8 minutes
Week 2 recap with Amity and Mike2 minutes

3 readingsTotal 40 minutes

"Structured", "Semi-Structured", and "Unstructured" data10 minutes
Implications of unstructured data - Case studies20 minutes
Data tools and technologies10 minutes

1 assignmentTotal 15 minutes

Week 2 Quiz15 minutes

4 discussion promptsTotal 40 minutes

Predicting the implications of technology advancements10 minutes
What technology advacements have changed your behaviors?10 minutes
Data in action discussion10 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 videosTotal 38 minutes

Types of data analysis techniques10 minutes
The role of Excel3 minutes
The role of SAS2 minutes
The role of R6 minutes
The role of Python6 minutes
The Power of Visualization4 minutes
The role of QlikView5 minutes
Week 3 recap with Amity and Mike2 minutes

2 readingsTotal 20 minutes

Data analysis approaches and techniques10 minutes
A Business Example of Data Visualization Tools10 minutes

1 assignmentTotal 15 minutes

Week 3 quiz15 minutes

1 discussion promptTotal 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 videosTotal 5 minutes

Intro to Week 4 and Course Project2 minutes
Course recap with Amity and Mike3 minutes

2 readingsTotal 20 minutes

Final course simulation10 minutes
Learn more about PwC and our career opportunities10 minutes

1 assignmentTotal 10 minutes

Final course simulation quiz10 minutes

1 peer reviewTotal 90 minutes

Final Project and Peer Review with Feedback90 minutes

Earn a career certificate

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Instructor

Instructor ratings

(642 ratings)

Alex Mannella

PwC

5 Courses397,066 learners

Offered by

PwC

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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 Jul 17, 2019

Informatice, a wise investment if one's time and effort. Get ready for the train to future. Its common sense to be future proof. Excellent and to the point communication by the instructors.

Reviewed on Nov 13, 2018

What an excellent laid out course curriculum. Bite size learning, various mediums, understandable concepts applied to real life business cases made for a 100% take away and applied knowledge. We

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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.