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Hands on Python for Finance

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master Python programming for financial data analysis using Pandas and NumPy libraries in real-world scenarios
  • Implement Python scripts to import, clean, and manipulate financial datasets for investment analysis and trading strategies
  • Develop automated financial models and algorithms to optimize portfolio management and risk assessment
  • Apply Python techniques to visualize financial data trends, stock performance, and market indicators effectively
  • Utilize Python for backtesting trading strategies and evaluating financial performance metrics
  • Integrate Python with financial APIs to fetch real-time stock quotes, market data, and economic indicators

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Lessons | 6


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4.4
7 Reviews

Boutaina Sood

good
2025-09-12

Bhakti Agrawal

It's nice
2025-08-08

Vedika

It's too good
2025-08-07

Pradeep Belwal

Good
2025-07-15

AMOS NJOROGE THUO

good
2025-07-06

IAN KIBET KIRUI

GOOD
2025-07-06

AYOUBI Mouna

GOOD
2024-10-29

ilyass oulmadani

excellent
2024-08-21

insaf zerban

best course thank you
2024-08-16

Vivek Tiwari

Best
2024-07-01

Neeraj kumar Upadhyay

yes good
2024-06-16

Nena patel

Very good
2024-06-03

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Python is the most popular programming language in finance. Because it is an object-oriented and open-source language, it is used by many large corporations, including Google, for a variety of projects. Python can be used to import financial data such as stock quotes using the Pandas framework.