
A brief introduction to how python opens new ways of analysing data.
A description of what areas we will learn in this course. The course is designed for accounting professionals. Therefore, areas that are most beneficial to accountants are included in it.
Programming translates human instructions into a computer's actions using precise syntax, grammar, and a sequence of steps processed as zeros and ones.
Explore the three data structures—structured, unstructured, and semi-structured—through Excel layouts, social media text, and HTML and JSON formats, and see their role in financial data, sentiment analysis, and Netflix-style recommendations.
You have the option to either download the file and upload it into your Google Colab or a link to the practice file is added to my GitHub repository. You will see the option of "Open in Colab". Click it and practice.
You have the option to either download the file and upload it into your Google Colab or a link to the practice file is added to my GitHub repository. You will see the option of "Open in Colab". Click it and practice.
You have the option to either download the file and upload it into your Google Colab or a link to the practice file is added to my GitHub repository. You will see the option of "Open in Colab". Click it and practice.
You have the option to either download the file and upload it into your Google Colab or a link to the practice file is added to my GitHub repository. You will see the option of "Open in Colab". Click it and practice.
Explore logical operators in Python for accountants, including and, or, and not, and how they evaluate booleans to guide a buy decision.
Master python membership operators in and not in to check if an invoice number exists in a dataset, retrieve related invoice details, and interpret true or false results.
Learn how functions and methods operate on data with parentheses inputs and dot notation, and distinguish them from operators. Explore string methods like upper, title, and count.
Explore list methods in Python, including append and insert to add elements, and len, min, max to analyze lists, with in and not in checks on a portfolio list.
Explore how dictionaries store data with keys and values, access entries by key, and use the get method to avoid key errors, including nested lists as values.
This is a beginner level course designed specifically for accounting and business professionals who have no prior knowledge of computer programming.
Python is gaining popularity in the accounting and finance field. Despite professional willingness to learn it, most courses available online are more centric to IT background professionals.
It is a 1 hour and 18 minutes short course for accountants, auditors, and other finance professionals to learn python taking small steps at a time. The aim is to avoid technical jargon and setup complexities so the accountants can get straight to learning rather than frustrating installing software and setting up environments.
Practice exercises use Google Colab Notebook, so you don’t need to install anything on your computer. Google Colab is a cloud-based software that allows you to write your code online. All you need is just a google account.
Class notebooks are attached to either download or linked to open in Google Colab directly.
What we cover in this course:
· Introduction to Programming
· Introduction to Python
· Syntax or Grammar of Programming
· Variables
· Data Formats (Structured Data, Unstructured Data etc.)
· Data Types (String, Numbers, Dates, Boolean etc.)
· Operators(>, =, /, ==, & etc.)
· Conditional Statements (if, else, etc.)
· Loops (For, While)
· Functions
· Data Structures in Python (Lists, Dictionaries, Data Frames )
After completing this course
1. You will have an understanding of computer programming
2. Various Data Structures
3. Write basic Python syntax
4. Familiarity with a notebook, so you know where to write your code.
See you in Class!
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I want to credit the following resources in making this course.
Music:
Track: We Were Young — Vendredi [Audio Library Release]
Music provided by Audio Library Plus
Available at YouTube
Videos and Images:
Pixabay
Pexels
Videezy
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