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via Udemy |
Go to Course: https://www.udemy.com/course/python-for-accountants/
Certainly! Here is a comprehensive review and recommendation for the Python Accountants Course available on Coursera: --- **Course Review and Recommendation: Beginner’s Python for Accountants** If you are an accountant looking to harness the power of automation and data analytics without diving into complex programming jargon, this Beginner’s Python Accountants Course on Coursera is an excellent choice. Designed specifically for beginners, this 3-hour course condenses over ten years of consulting experience into practical, real-world projects that demonstrate how Python can simplify and automate your financial tasks. **Course Highlights:** - **Hands-On Projects:** The course revolves around four key projects tailored for accounting professionals: automating stock market analysis, creating Excel sales and data cleansing reports, extracting cryptocurrency data from Binance, and setting up automated stock/crypto price alerts via APIs and push notifications. These projects are valuable for accountants eager to improve efficiency and data accuracy. - **Easy-to-Follow Teaching Style:** The instructor emphasizes clarity, skipping unnecessary technical jargon to make Python approachable. Whether you're a complete novice or have some familiarity with coding, you'll appreciate the straightforward, practical approach. - **Structured Learning Path:** - *Basic Python Syntax & Fundamentals:* Covers essentials like variables, data types, control structures, functions, and libraries—foundational skills for any automation task. - *Jupyter Notebooks:* Introduces a more powerful environment for writing and testing your code. - *Data Analytics with Pandas:* Focuses on data manipulation techniques—crucial for automating Excel tasks like sorting, filtering, pivot tables, and exporting data. - *APIs & Automation:* Explains how to connect to APIs, with real examples including Binance cryptocurrency data and Telegram alerts, making automation tangible and applicable. - **Real-World Application:** The course’s practical focus means you will not only learn coding but also see how it directly applies to your financial workflows. The instructor's extensive experience ensures that the techniques taught mirror real accounting challenges, adding tremendous value. - **Condensed & Focused:** Despite its brevity, the course covers crucial skillsets efficiently, perfect for busy professionals who want impactful learning without a lengthy commitment. **Pros:** - Perfect for absolute beginners—no prior coding experience needed - Practical projects tailored for accountancy and finance workflows - Clear, jargon-free explanations - Combines fundamental programming with real-world applications - Short and intensive, ideal for quick skill acquisition **Cons:** - As it’s a beginner’s course, it doesn’t cover advanced Python topics - Some familiarity with Excel and basic finance concepts is beneficial **Final Thoughts & Recommendation:** If you're an accountant eager to automate tedious tasks, analyze data, or set up real-time alerts with Python, this Coursera course is an excellent investment. It demystifies programming, making automation accessible and relevant to your daily work. The direct application of skills through projects ensures you'll gain confidence and tangible results quickly. I highly recommend this course to professionals who want to future-proof their accounting skillset with automation and data management techniques. Watch the course preview to get a better idea and start transforming your workflow today! --- Feel free to ask if you'd like a more personalized summary or additional details!
This is a beginners Python Accountants Course that explains how to automate 4 Accounting projects:Streamline stock market analysis by automating stock data extraction,Automate an Excel sales report & data cleansing report using common Data Analytics techniques, Automate cryptocurrency data extraction from Binance, andAutomate stock or crypto price alerts to your phone via APIs & Push notifications.This course is for Accountants who want to learn Python in an easy to follow, and straight to the point manner, whilst skipping unncessary technical jargon that can be intimidating for beginners.Students will also be able to understand the relevance of Python by practicing their skills on 4 real-world Financial projects.I've condensed over 10 years of my experience as a Consultant at a Big 4 into this 3 hour course which I know you'll love because I use everything in this course to automate my job:)Please watch the Course Preview to find out more and get started!----------Below is an overview of each chapter:Chapter 1A quick introduction about me, and what this course covers.Chapter 2Explains 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 3An 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 4Teaches 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 5A 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.