Investment Banker
Python for Financial Analysis
Overview
Master Python tools for data handling, modeling, and automation to enhance financial analysis, forecasting, and decision-making efficiency in professional finance roles.
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35 Hours of Learning
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3.4K+ Learners
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25,500+ GST
Skills You Will Learn
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Python programming for finance
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Statistical & risk analysis
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Forecasting & trend prediction
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Machine learning applications
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Data cleaning & transformation
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Financial data visualization
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Quantitative model building
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Analytical problem-solving
Course Key Highlights
- Real-world financial datasets for practice
- Step-by-step modeling demonstrations
- Practical forecasting & simulation projects
- Automation techniques for efficiency
- Visual storytelling with financial data
Course Time
Includes:
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Self-paced
Modules -
Assignments
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Assessments
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20 Hours of Learning
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FAQs
Who is this course designed for?
Anyone looking to apply Python in financial analysis, modeling, and automation.
Do I need prior Python knowledge?
Basic familiarity with Python is helpful but not mandatory.
What kind of projects will I work on?
You’ll practice using real-world financial datasets for analysis, modeling, and forecasting.
Will this course cover financial forecasting?
Yes, you will learn to use time-series data to predict market trends.
How long will it take to complete the course?
The course offers 20 hours of learning, which you can complete at your own pace.
