5. How does this specialization boost career readiness?

Equips you with core skills like discounted cash flow, corporate finance metrics, and accounting analysis used in roles such as finance analyst or ...

4. Will I get a credential upon completion?

Yes—you’ll earn a shareable specialization certificate from the University of Pennsylvania via Coursera.

3. What is the course structure and expected duration?

Consists of 4 courses, each progressively building financial and accounting skills.Estimated time: 4 weeks at 10 hours per week (~40 hours ...

2. What main topics and concepts does the specialization cover?

Fundamentals of Finance: time value of money, DCF, NPV vs. IRR, return on investment.Corporate Finance: capital budgeting, cost of capital, ...

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

Yes—it’s beginner level, requiring only basic high school math and no prior finance or accounting knowledge.Designed for flexible self-paced ...

5. How long does it take, and what credentials does it offer?

Typical completion ranges from 3 to 5 months, depending on your pace.The program is ACE® recommended, offering up to 8 transferable college ...

4. Are there practical projects and real data labs included?

Yes—courses include hands-on labs and projects using real datasets.Examples include:Plotting financial data with Pandas.Visualizing ...

3. What data analysis and statistics skills are taught?

Tackle statistical analysis, including descriptive stats, probability distributions, regression, and hypothesis testing.Practice data ...

2. What tools and programming skills will I gain?

Use industry tools like Jupyter Notebooks, Git, GitHub, RStudio, Watson Studio.Learn Python basics and libraries such as Pandas and NumPy....

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

Yes—it’s beginner level and requires no prior programming or computer science experience.Fully self-paced with lifetime access, allowing you ...

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