About this Course

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Learner Career Outcomes

36%

started a new career after completing these courses

30%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 9 hours to complete

English

Subtitles: English, Korean, French, Japanese

Skills you will gain

Data-Informed Decision-MakingBig DataData AnalysisData Visualization (DataViz)

Learner Career Outcomes

36%

started a new career after completing these courses

30%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 9 hours to complete

English

Subtitles: English, Korean, French, Japanese

Instructor

Offered by

PwC logo

PwC

Syllabus - What you will learn from this course

Content RatingThumbs Up97%(21,578 ratings)Info
Week
1

Week 1

3 hours to complete

Introduction to Data Analytics

3 hours to complete
12 videos (Total 58 min), 8 readings, 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 PwC41s
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 readings
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 practice exercise
Week 1 Quiz15m
Week
2

Week 2

2 hours to complete

Technology and types of data

2 hours to complete
7 videos (Total 53 min), 3 readings, 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 readings
"Structured", "Semi-Structured", and "Unstructured" data10m
Implications of unstructured data - Case studies20m
Data tools and technologies10m
1 practice exercise
Week 2 Quiz15m
Week
3

Week 3

1 hour to complete

Data analysis techniques and tools

1 hour to complete
8 videos (Total 38 min), 2 readings, 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 readings
Data analysis approaches and techniques10m
A Business Example of Data Visualization Tools10m
1 practice exercise
Week 3 quiz15m
Week
4

Week 4

2 hours to complete

Data-driven decision making project

2 hours to complete
2 videos (Total 5 min), 2 readings, 2 quizzes
2 videos
Course recap with Amity and Mike2m
2 readings
Final course simulation10m
Learn more about PwC and our career opportunities10m
1 practice exercise
Final course simulation quiz10m

About the Data Analysis and Presentation Skills: the PwC Approach Specialization

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....
Data Analysis and Presentation Skills: the PwC Approach

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.