Python For Accountants: Automate Accounting!

Unlock the Power of Python for Accountants: Automate Financial Tasks

This beginner-friendly Python Accountants Course empowers you to automate key financial projects, even if you have no prior coding experience. Learn Python in a clear, concise way, avoiding unnecessary technical jargon. This 3-hour course condenses over 10 years of Big 4 consulting experience, using practical examples to automate your accounting workflows – just as I do!

What You'll Learn:

• Automate Stock Market Analysis: Extract stock data automatically using Python and the Yahoo Finance/YFinance library. Streamline your stock market research and analysis.
• Excel Automation & Data Cleansing: Master data analytics techniques with Pandas to automate Excel sales reports and perform powerful data cleansing.
• Cryptocurrency Data Extraction: Automate the extraction of cryptocurrency data from Binance using Python APIs.
• Price Alerts & Notifications: Set up automated stock and cryptocurrency price alerts delivered directly to your phone via APIs and push notifications.

Course Curriculum:

• Chapter 1: Getting Started with Python

  • Introduction to the course and instructor.
  • Installing Python and setting up your development environment.
  • Understanding basic Python syntax: variables, data types, operators, and control flow (if statements, loops).
  • Working with lists, functions, and standard libraries.
  • File handling (reading and writing text files).
  • Introduction to Pandas and installing the library.
  • Real-world application: Extracting stock market data using Yahoo Finance/YFinance.

• Chapter 2: Python Fundamentals

  • A comprehensive overview of Python syntax and fundamentals.
  • Using the code editor (IDLE) and the print function.
  • Arithmetic and comparison operators.
  • Variables and data types.
  • Code documentation and style guides.
  • If statements and F-strings.
  • Lists and for loops.
  • Opening and saving text files.
  • Creating custom functions.
  • Exploring standard libraries.
  • While loops.
  • Installing third-party libraries (Pandas).
  • Hands-on: Solve a real-world case study – Python stock analysis and data extraction.

• Chapter 3: Introduction to Jupyter Notebooks

  • Upgrade your coding environment to Jupyter Notebooks for enhanced functionality and interactivity.

• Chapter 4: Data Analytics with Pandas (Excel Automation)

  • Fundamental data analytics techniques using the Pandas library – essential for accountants.
  • Key Techniques:
    • Adding and removing columns.
    • Sorting and filtering data.
    • Removing duplicate entries.
    • Data formatting.
    • Creating and manipulating pivot tables.
    • Exporting data to CSV and Excel.
    • Using the Locate and If functions.
  • Case Studies:
    • Supermarket sales report: Aggregate sales data into pivot tables with minimal code.
    • Data Cleaning/Data Wrangling: Learn to identify and fix common data errors.

• Chapter 5: APIs – Connecting to External Services

  • Understanding APIs: What they are and how they work.
  • Connecting to APIs: Learn how to interact with external services.
  • Get vs. Post Requests: Understanding the difference.
  • Practical Example: Using the Binance API to automatically extract cryptocurrency prices.
  • Final Case Study: Combine all learned skills to build an automated system that sends stock market alerts, messages, and push notifications to your phone using the Telegram App and Telegram API.

Who is this course for?

This course is designed for accountants who want to learn Python to automate repetitive tasks, improve efficiency, and gain valuable data insights. No prior coding experience is required!