Overview
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.
Applied Learning Project
This Data Analysis and Presentation Skills - the PwC Approach Specialization offered by Coursera in partnership with PwC will include a project at the end of each module and a capstone project at the end of the specialization. Each project will provide you the chance to apply the skills of that lesson. In the first module you'll plan an analysis approach, in the second and third modules you will analyze sets of data using the Excel skills you learn. In the fourth module you will prepare a business presentation.
In the final Capstone Project, you'll apply the skills you’ve learned by working through a mock client business problem. You'll analyze a set of data, looking for the business insights. Then you'll create and visualize your findings, before recording a video to present your recommendations to the client.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data-driven Decision Making
- Problem Solving with Excel
- Data Visualization with Advanced Excel
- Effective Business Presentations with Powerpoint
- Data Analysis and Presentation Skills: the PwC Approach Final Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Computer Sciences Data Science & Big Data View 592 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner Level
- No prior experience required.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
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Funding
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.