- 80% Python Financial Analyst: Financial Analysis Zero to Advance

Python Financial Analyst: Financial Analysis Zero to Advance

  • All prices mentioned above are in United States dollar.
  • This product is available at Udemy.
  • At udemy.com you can purchase Python Financial Analyst: Financial Analysis Zero to Advance for only $14.00
  • The lowest price of Python Financial Analyst: Financial Analysis Zero to Advance was obtained on December 26, 2024 11:05 pm.

Original price was: $69.99.Current price is: $14.00.

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Last updated on December 26, 2024 11:05 pm
Python Financial Analyst: Financial Analysis Zero to Advance
Python Financial Analyst: Financial Analysis Zero to Advance

Original price was: $69.99.Current price is: $14.00.

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Python Financial Analyst: Financial Analysis Zero to Advance

★★★★★
$69.99
$14.00
 in stock
Udemy.com
as of December 26, 2024 11:05 pm

Master Finance using Python: Python Financial data manipulation, visualization, modeling, and driving business impact.

Created by: Tamer Ahmed
Passionate Developer, Data Scientist and Data Engineer.
Created by: Temotec Learning Academy
Professional Developer & Programmer love teaching.
Rating:4.74 (45reviews)     133students enrolled

What Will I Learn?

  • Python fundamentals tailored for finance applications.
  • Data manipulation and cleaning techniques using Pandas.
  • Visualizing financial data with Matplotlib and other libraries.
  • Core concepts of financial data analysis, including time series analysis.
  • Building financial models and conducting quantitative research.
  • Automating repetitive tasks and generating reports.

Requirements

  • Computer and Internet.
  • No prior programming experience is required.

Target audience

  • Finance professionals looking to enhance their data analysis & data science skills.
  • Investment analysts and data scientists portfolio managers.
  • Students pursuing finance, economics, or data science degrees.
  • Risk management professionals.
  • Quantitative analysts and researchers .
  • Anyone interested in applying Python to financial data analysis.

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