5. What credential and credit recognition does this specialization provide?

Earn a shareable career certificate from IBM upon completion, suitable for LinkedIn or resume.ACE® (American Council on Education) ...

4. Are there hands-on projects and a capstone included?

Yes—each course features practical exercises and culminating projects:Detect fraud via credit card data visualization.Clean vehicle ...

3. What’s the structure and typical duration?

Consists of 4 courses:Introduction to Data Analytics (~10 h)Excel Basics for Data Analysis (~12 h)Data Visualization and Dashboards ...

2. What topics and tools are covered in the specialization?

Introduces the data ecosystem and roles of data professionals.Teaches data cleaning, wrangling, and analysis using Excel.Covers ...

1. Is this specialization beginner-friendly with no prerequisites?

Yes—it’s beginner level and only requires basic computer literacy and high school math.Self-paced and accessible with lifetime access....

5. How can this specialization benefit my career?

Equips you with knowledge of high-demand Fintech innovations like blockchain, lending platforms, and AI tools.Empowers you to make informed ...

4. Will I get a credential upon completion?

Yes—you receive a shareable career certificate from the University of Pennsylvania.You can add this credential to your LinkedIn profile, ...

3. How is the specialization structured and how long does it take to complete?

Consists of four courses:Foundations, Payments & Regulations (~16 h)Cryptocurrency & Blockchain (~24 h)Lending, Crowdfunding ...

2. What key topics and skills are covered across the specialization?

Covers cryptocurrency, blockchain, payment systems, investing strategies, and financial regulations.Explores lending, crowdfunding, AI in ...

1. Is this specialization beginner-friendly for newcomers to Fintech?

Yes—it’s labeled beginner level and requires no prior Fintech knowledge.Fully self-paced with flexible scheduling—designed to be completed in ...

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