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30-Day Money-Back Guarantee

This course includes:

  • 3 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
Finance & Accounting Financial Modeling & Analysis Financial Analysis

Financial Analysis with Python - Analysing Balance Sheet

Automating Financial Analysis with Python
Rating: 4.3 out of 54.3 (28 ratings)
10,491 students
Created by Jose M. Martinez
Last updated 10/2020
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Financial Analysis Using Python
  • Understanding Balance Sheet
  • Learnings and Interpreting Different Balance Sheet Ratios
  • Plot Financial Data
  • Compare Financial Data Across Companies
  • All of the above points will be automated using Python
  • Python for Finance

Requirements

  • Basic understanding of Python - The code will be explained during the course and the videos are easy to follow. However, Python basics are not covered since there is plenty of tutorial out there covering the basics.
  • We will use a financial API to retrieve company fundamentals. The API offers 250 calls per month for free upon registration. Please note, that after 250 calls per month the API has a cost of around 10$ per month. I tried to find a free source of financial data but unfortunately, it is hard to find a free reliable source to be used with Python.

Description

Welcome to Analysing Balance Sheet with Python.


During the course, we will learn how to automate financial data retrieval from an API and to automate financial Analysis using Pandas and Python. Below are the main areas that we will cover during this Python for Finance course:


  1. Retrieving financial data using API

  2. Cleaning up data and prepare it for analysis

  3. Plotting Balance Sheet data using Matplotlib and Plotly

  4. Comparing Balance Sheet of multiple companies within an industry using Python

  5. Analysing companies Account Receivables using Python

  6. Analysing companies Liquidity using Python

  7. Analysing companies Solvency using Python

  8. Analysing companies Inventory using Python



Note: We will retrieve financial data through an API. The API offers 250 monthly calls per month free. This may be enough to follow along the course but in order to perform your own analysis, a monthly subscription may be required.



Who this course is for:

  • All users who would like to know how to apply financial analysis using Python.
  • Financial Analysts with an interest on automated fundamental analysis with Python
  • Python developers curious about Finance
  • Finance users curious about Python and programming applied to Finance
  • Users curious about Python for Finance

Course content

4 sections • 12 lectures • 2h 53m total length

  • Preview06:48

  • Set Up
    09:22

  • Understanding Balance Sheet
    12:18
  • Retrieving Balance Sheet Data with Python
    18:03
  • Retrieving Balance Sheet Data for Multiple Companies with Python
    21:29
  • Common Size Balance Sheet
    07:50
  • Analysis and Plotting Balance Sheet Data Using Python
    17:54

  • Analysing Account Receivables
    28:12
  • Preview15:53
  • Analysing Companies Solvency
    14:19
  • Analysing Inventories
    21:37
  • Resources
    00:02

Instructor

Jose M. Martinez
Financial Modeling with Python
Jose M. Martinez
  • 4.3 Instructor Rating
  • 28 Reviews
  • 10,491 Students
  • 1 Course

Hello, I am Jose and one of my passions is Finance. I would like to share all my financial knowledge applied to finance with all of you.


Although my background is finance, I have spent the last 5 years learning how to apply Python for finance and more in particular financial analysis.

During this time, I have learnt a lot of tools that can be applied in Python to automate analysis of companies and industries. To value companies and plot financial Data.





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