Tutorials > Python For Accountants 2022 - Automate 4 Financial Projects!
Python For Accountants 2022 - Automate 4 Financial Projects!Date: 25 February 2022 | Posted by: voska89 |
![]() MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 41 lectures (3h 8m) | Size: 1.67 GB Learn Python to automate: Excel reports, stock & crypto data extraction, and send it to your phone via Push Notification What you'll learn Accounting Data Analytics (Data Cleansing & Spreadsheet Automation) Stock Data Extraction Use APIs to Extract Cryptocurrency Data Use APIs to Send Price Alerts (Stock & Crypto) To Your Phone Python Basics & Fundamentals Requirements Basic computer skills No programming experience required Basic Microsoft Excel skills ideal, but not required Description Welcome to Python For Accountants 2022! This is a ~3 hour beginners Python Accounting Course that covers Chapter 1 A quick introduction about me, and what this course covers. Chapter 2 Explains basic Python syntax and fundamentals - for example, you might love reading novels and want to write a book, but before you write it, you have to learn grammar, syntax, and style guides - same thing goes with coding, and that's what this chapter is about - learning the grammar, syntax, and style guides of Python. This chapter will go through the following - Installing Python & downloading course files, - Using the code editor (IDLE) & print function - Arithmetic operators, - Comparison operators, - Variables & datatypes, - Code documentation, - If statements, - F-String, - Lists, - For loops, - Opening & saving text files, - Custom functions, - Standard libraries, - While loops, - Third party libraries, and - Installing Pandas. We'll then apply what you've learnt in the basics to solve your first real world case study - Python stock analysis - specifically, extracting stock market data to a spreadsheet using the Yahoo Finance / YFinance library. Chapter 3 An introduction to Jupyter Notebooks. We upgrade our code editor to Jupyter Notebook which is more powerful than IDLE (the default code editor that comes with Python). Chapter 4 Teaches fundamental Data Analytics techniques using the Pandas library which is important for every Accountant to know. This is THE chapter for Excel automation. You'll learn techniques like - Adding & removing columns, - Sorting data, - Filtering, - Removing duplicates, - Formatting, - Pivot tables, - Exporting to CSV & Excel, and - Location / If Function. We'll then apply those learnings by automating 2 case studies - Supermarket sales report - we'll aggregate loads of sales data into a pivot table with just a few lines of code. - Data Cleaning / Data Wrangling case study which is about fixing bad data. Chapter 5 A general overview of APIs. I'll explain what is an API, how to connect to APIs, and the difference between a Get and Post Request. We'll be using the Binance API as an example as I go through the API explanation which means you'll learn how to automatically extract cryptocurrency prices to your Python script or to an Excel spreadsheet. We'll then finish this chapter with a case study which combines EVERYTHING we've learnt in this course - we'll use the Telegram App (Android / iOS) and Telegram API to send stock market alerts, messages, and push notifications to our phone. Who this course is for Accountants who want to automate: repetitive computer tasks (e.g., Excel reports), data analytics, and stock & crypto data extraction. Accountants who are new to coding / programming Accountants who want to learn Python quickly Accountants who want an easy to understand Python course Homepage DOWNLOAD LINK Download (Uploadgig) https://uploadgig.com/file/download/294Dd81ddbaBa51F/z2mxi.P.F.A.2022.A.4.F.P.rar Download ( Rapidgator ) https://rapidgator.net/file/f4ec1f21a4e8cc3e554744645e4f90cd/z2mxi.P.F.A.2022.A.4.F.P.rar.html Download ( NitroFlare ) https://nitro.download/view/63760B80130A3DF/z2mxi.P.F.A.2022.A.4.F.P.rar Links are Interchangeable - No Password - Single Extraction See full article |