Data-driven Decision Making
Master data analytics fundamentals and learn how to make better business decisions using PwC's proven approach.
Master data analytics fundamentals and learn how to make better business decisions using PwC's proven approach.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Analysis and Presentation Skills: the PwC Approach Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(6,098 ratings)
1,90,845 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Understand the fundamentals of data analytics and its business value
Learn to identify and work with different types of data
Master various data analysis tools and techniques
Develop skills in data-driven decision making
Apply analytics framework to solve business problems
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course introduces learners to data analytics and its role in business decision-making. The curriculum covers fundamental concepts of data analytics, big data, and their business applications. Students learn about different types of data, analysis techniques, and commonly used tools like Excel, Python, R, and SAS. The course includes hands-on projects and real-world business simulations to develop practical skills in data-driven decision making.
Introduction to Data Analytics
Module 1 · 3 Hours to complete
Technology and types of data
Module 2 · 2 Hours to complete
Data analysis techniques and tools
Module 3 · 1 Hours to complete
Data-driven decision making project
Module 4 · 2 Hours to complete
Fee Structure
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.
Testimonials
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4.6 course rating
6,098 ratings
Frequently asked questions
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