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Intermediate Python for Finance

Intermediate

4.3+

Updated 12/2024

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

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PythonApplied Finance4 hours15 videos52 exercises4,150 XP24,073Statement of Accomplishment

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Course Description

Are you a financial or business analyst, or simply looking for an easier way to manage your stock portfolio? If so learning Python can automate financial tasks such as calculating risk, mapping market health, and visualizing a stock's price trends, saving you time and money. In this course, you’ll learn how to use Python data structures, execution control statements, and DataFrames to manipulate financial data. You will then work with pandas, using data from the Federal Reserve Bank, to explore national economic trends—an essential part of understanding investment strategies. You will also calculate risk based on stock price data, and display this data in easy to read plots. By the end of this course, you’ll be the new Python of Wall Street.

Prerequisites

Introduction to Python for Finance

1

Datetimes and Dictionaries

Representing time with datetimes

Creating datetimes for dates

Datetimes from strings

Converting format with datetimes

Working with datetimes

Accessing datetime attributes

Comparing datetimes

Making relative datetimes

Dictionaries

Creating and accessing dictionaries

Accessing safely and deleting

2

Control Flow and Logic

Comparison operators

Equality across types

Assignment and equality

Comparing dividends

Boolean operators

Decisions with Boolean operations

Assigning variables with Boolean operators

Negating with Boolean operators

If statements

Control statements

Comparing sales and purchases

Branching with elif and else

For and while loops

Breaking out of a for loop

Controlling loop execution

3

Pandas Dataframe

Creating a DataFrame

Creating DataFrames

Reading market history

Accessing Data

Accessing using names

Accessing using indexes

Aggregating and summarizing

Mean prices

Median prices

Extending and manipulating data

Creating new columns

Dropping columns from DataFrame

Manipulating data with Pandas

4

Working with NASDAQ Stock Data

Peeking at data with head, tail, and describe

Why use describe

Peek at top and bottom

Describing data

Filtering data

Why filter data

Filtering stock data.

Selecting data from data range

Plotting data

Identifying plot type

Making a line plot

Choose kind of plot

Wrapping up

Intermediate Python for Finance

Course
Complete

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Don’t just take our word for it

*4.3

from 14 reviews

64%

14%

14%

7%

0%

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Most recent
Top reviews

Guillaume R.

6 months

Perfect

Sue D.

7 months

Interesting course with stunning instructor!

Anderson K.

8 months

A good course to complement Python skills.

Oriol C.

about 1 year

I’m Learning a lot

Noa S.

about 1 year

Recommend it to anyone seeking to develop their Python knowledge for real world applications

"Perfect"

Guillaume R.

"Interesting course with stunning instructor!"

Sue D.

"A good course to complement Python skills."

Anderson K.

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