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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.

  • 4 Hours 35 Hours of Learning
  • Learners 3.4K+ Learners
  • GST Derivatives 25,500+ GST

What You Will Learn

Handle financial data in Python Use Pandas & NumPy effectively Perform regression & risk modeling Apply Monte Carlo simulations Conduct time-series forecasting Build ML-driven financial models Automate data workflows Create financial visualizations

Skills You Will Learn

Skills
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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:
  • Time

    Self-paced
    Modules

  • Time

    Assignments

  • Time

    Assessments

  • Time

    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.

Infra

Master financial analysis with Python and enhance your decision-making skills in real projects.

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