Python for Finance Bootcamp
via Noble Desktop
Affiliated with Course Report
Apply Python to financial information in Noble Desktop's Python for Finance Bootcamp. The course connects programming and data analysis with finance-specific tasks, helping you work with financial datasets and calculations. You practice using code to examine information that would otherwise require repeated manual analysis across spreadsheets or separate sources.
What's included
- Free course retake within one year to refresh the material and gain practice.
- Class recordings
Overview
In this advanced course, you will cover the major Python financial libraries to gather and manipulate financial data. You'll start by working with financial APIs to fetch company and economic data.
Then, the course shifts into analyzing financial statements from the SEC website, including financial ratios derived from the income statement and the balance sheet. Next, you will build risk management models using Python libraries to create VAR models and Monte Carlo simulations. Following that, you will learn how to apply statistical measures such as linear regression to financial applications, such as stock price predictions.
Who this course is for
This course is ideal for Financial Analysts and professionals, Risk Managers, Portfolio Managers, and those looking to break into a career in finance, technology, and data analysis.
Prerequisites
Python / Data: Participants should be familiar with concepts from Python for Data Science Bootcamp, including built-in data types, data structures, Pandas, and Matplotlib. Finance Background: Participants should be familiar with financial concepts such as NPV, IRR, financial statements, and stock fundamentals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.
Topics included
Schedule & enrollment
Find dates that fit your schedule, then book on Noble Desktop.
- Live tuition
- $1,295
- Course length
- 24 hours
View the latest live class dates and availability on Noble Desktop.
Curriculum
What you'll learn
- Gathering financial information with Python
- Financial APIs
- Analyzing 10-K filings from the SEC website
- Time value of money calculations with Python
- Risk management with Python
- Calculating Value at Risk (VAR)
- Financial ratio analysis
- Fixed income analysis with Python
- Option strategies with Python
- Portfolio management with Python
- Regression analysis
Course syllabus
Introduction to Python
- Variables
- Numeric Data Types: Int & Float
- Sequential Types: Str & List
- Definite Loops: For loops
- If-Elif-Else Statements
- Data Types: Tuples
- Build Mortgage Calculator with Python
Advanced Python
- Creating Custom Functions
- Indefinite Loops: while loops
- Data Types, Dictionary and Set
- Slicing Data Types
- Reading txt files with Python
- Analyze data from text and csv file
Numerical Python & Pandas
- NumPy Array
- Broadcasting and U-Functions
- Introduction to Pandas
- Series, DataFrame, Panel
- Manipulate live S&P data from https://www.sectorspdr.com/sectorspdr/
Data Manipulation
- 5 ways to create a DataFrame
- Slicing and Filtering DataFrame
- Lambda
- Run If and Else scenarios
- Gather and Manipulate Data with Pandas
- Analyze business data from csv files
Data Extraction & Analysis
- Get live data from APIs
- Plot data with Matplotlib
- Merge and Concat Data
- Groupby in Pandas
- What if logic in Finance with Pandas
Course Reviews
Is this course right for you?
Choose this specialization when your Python goals are tied to finance. If you want a broader sequence that also develops the underlying programming and analytical toolkit, compare the FinTech Bootcamp and its combined Python, SQL, and financial-data curriculum.