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Introduction to Python for Finance

via Datacamp

Overview

This course introduces Python for financial analysis.

The financial industry is increasingly adopting Python for general-purpose programming and quantitative analysis, ranging from understanding trading dynamics to risk management systems. This course focuses specifically on introducing Python for financial analysis. Using practical examples, you will learn the fundamentals of Python data structures such as lists and arrays and learn powerful ways to store and manipulate financial data to identify trends.

Syllabus

Welcome to Python
-This chapter is an introduction to basics in Python, including how to name variables and various data types in Python.

Lists
-This chapter introduces lists in Python and how they can be used to work with data.

Arrays in Python
-This chapter introduces packages in Python, specifically the NumPy package and how it can be efficiently used to manipulate arrays.

Visualization in Python
-In this chapter, you will be introduced to the Matplotlib package for creating line plots, scatter plots, and histograms.

S&P 100 Case Study
-In this chapter, you will get a chance to apply all the techniques you learned in the course on the S&P 100 data.

Taught by

Adina Howe

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