PwC Data Analysis Final Project
This course is part of Data Analysis and Presentation Skills: the PwC Approach.
In this Capstone Project, you'll bring together all the new skills and insights you've learned through the four courses. You'll be given a 'mock' client problem and a data set. You'll need to analyze the data to gain business insights, research the client's domain area, and create recommendations. You'll then need to visualize the data in a client-facing presentation. You'll bring it all together in a recorded video presentation. You'll work as a consultant for Electric Growers, a company looking to move into the security devices and services market. You'll analyze their data to determine ideal customer profiles, target markets, and strategic recommendations. Throughout the project, you'll receive peer feedback to enhance your presentation skills for future client interactions.
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What you'll learn
Analyze a complex business problem using real-world data
Identify key customer segments and target markets through data analysis
Develop data-driven business recommendations and strategic insights
Create effective data visualizations that clearly communicate findings
Build a professional, client-ready PowerPoint presentation
Deliver a persuasive video presentation of analysis results
Skills you'll gain
This course includes:
0.3 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This capstone project provides hands-on experience in professional data analysis and client consulting. Students work with a realistic business scenario for Electric Growers, a company seeking to enter the security devices market. The course follows a structured consulting engagement process, beginning with understanding the business problem through client interactions. Students analyze provided datasets to identify ideal customer profiles, determine target markets, and develop strategic recommendations. The project emphasizes data visualization skills, requiring students to create meaningful charts and graphs that effectively communicate insights. In the final stages, students develop a professional PowerPoint presentation following PwC best practices and record a video presentation delivering their findings to the client. Throughout the course, peer review provides valuable feedback for improvement, simulating the collaborative nature of real consulting work.
Understanding the Business Problem
Module 1 · 2 Hours to complete
Analyzing the Business Problem
Module 2 · 2 Hours to complete
Creating a visual representation of your analysis results
Module 3 · 2 Hours to complete
Building a presentation for the client meeting
Module 4 · 2 Hours to complete
Presenting your results to the client
Module 5 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Analysis and Presentation Skills: the PwC Approach
Payment options
Financial Aid
Instructor
Data Analytics Pioneer and Customer Value Management Expert
Alex Mannella has established himself as a leading authority in data analytics and customer value management, drawing from his experience as a founding Partner in PwC's Information and Analytics Practice. His expertise spans customer value management (CVM), response modeling, database marketing, and data mining, with significant achievements in developing segmentation algorithms and artificial intelligence applications. Prior to PwC, as head of research at Econometrics, Inc., he led the redesign of a national database containing over 180 million records and developed the influential life-stage variable for CRM analysis. His academic influence extends across prestigious institutions as a guest lecturer at UCLA, Stanford, ITAM, Universidad de los Andes, IIM-B, and ISB. He currently serves on the advisory board at the University of Chicago Graham School while maintaining active membership in the American Statistical Association (Chicago Chapter) and the Chicago Association of Direct Marketing. His Coursera courses focus on data analysis, visualization, and business presentation skills, reflecting his commitment to sharing expertise in data-driven decision making.
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Frequently asked questions
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