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LinkedIn Learning

Python for Data Professionals in Finance

via LinkedIn Learning Path

Overview

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This comprehensive learning path is designed for data professionals in the finance industry who want to leverage the power of Python. Learn best practices for performing calculations; ingesting and preparing financial data; integrating Python with Excel for data manipulation, analysis, and reporting; creating dynamic financial models; and using advanced machine learning models to enhance your trading strategies.
  • Explore, analyze, and visualize financial data with Python.
  • Unlock the power of Python functionality within Excel.
  • Build dynamic financial models for trading strategies.

Syllabus

Courses under this program:
Course 1: Getting Started with Python for Finance
-Get up and running as a financial analyst using Python, one of the most widely used programming languages in the world.

Course 2: Python in Excel for Financial Professionals
-This course empowers finance professionals with the skills to seamlessly integrate Python with Excel for data manipulation, analysis, and reporting.

Course 3: Advanced Python in Excel for Finance: A Hands-On Approach
-This course helps finance professionals enhance their data analysis and financial modeling skills by integrating Python's powerful programming capabilities directly within Excel.

Course 4: Practical Python for Algorithmic Trading
-Learn about algorithmic trading to elevate your trading skills and unlock the potential of machine learning.

Course 5: Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training
-Learn how to develop a tested, rules-based trading strategy and program a simple trading algorithm using Python, R, and Stata.

Taught by

Matt Harrison, Christian M., Rancy Chepchirchir, MSc, Jesus Lopez and Michael McDonald, PhD

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