Python for Finance: Investment Fundamentals & Data Analytics

Course Name : Python for Finance: Investment Fundamentals & Data Analytics
Students : 134,845
Duration : 9 hrs & 87 downloadable resources
Avg Rating : 4.6 (27,753 ratings)
Original Price : $119.99
Discount Price : $14
Instructor / Provider : 365 Careers, Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code

You’ll Learn

Python Programming

• Learn how to code in Python, even with no prior experience.
• Work with Python’s core features, including conditional statements, functions, sequences, and loops.
• Leverage scientific packages like NumPy for numerical computing and Pandas for data analysis.
• Create visualizations with Matplotlib to plot and interpret data.
• Use Python to solve real-world problems and enhance your programming skills.
• Build confidence to apply for developer roles, including those in financial institutions.

Data Science and Finance Applications

• Use Python for in-depth financial analysis, investment modeling, and decision-making.
• Analyze the rate of return and risk of individual stocks and portfolios.
• Understand the concepts of correlation, covariance, and risk types (diversifiable vs. non-diversifiable risk).
• Apply regression analysis to assess financial relationships, calculating Alpha, Beta, and explanatory power with R².

Portfolio and Risk Management

• Master investment portfolio construction and optimization using the Markowitz Efficient Frontier.
• Evaluate securities using the Capital Asset Pricing Model (CAPM).
• Compare investment performance through metrics like the Sharpe Ratio.
• Use multivariate regression to analyze complex relationships between financial variables.

Advanced Financial Analysis Techniques

• Conduct Monte Carlo simulations to model financial scenarios in both stock and corporate finance contexts.
• Price options using the Black-Scholes Formula and simulate stock pricing with Monte Carlo methods.
• Understand derivatives and their types, and apply advanced tools for pricing and risk management.

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