Python for Accountants II

Python for Accountants II, available at Free, has an average rating of 4.7, with 7 lectures, based on 38 reviews, and has 3236 subscribers.

You will learn about Students will learn python programming language. This course is ideal for individuals who are Accounting and finance professionals, students in accounting and finance and people with general interest in python. It is particularly useful for Accounting and finance professionals, students in accounting and finance and people with general interest in python.

Enroll now: Python for Accountants II

Summary

Title: Python for Accountants II

Price: Free

Average Rating: 4.7

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Students will learn python programming language.

Who Should Attend

Accounting and finance professionals, students in accounting and finance and people with general interest in python.

Target Audiences

Accounting and finance professionals, students in accounting and finance and people with general interest in python.

This is part two of the series, Python for Accountants, 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 an hour 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 Data Frame (Excel of Python)

· How to Create a Data Frame and few methods

·Introduction to the DRY concept and Control Flow

.Functions

.Conditional Statements

.Loops

After completing this course

1. You will have an understanding of more complex concepts of python and programming in general.

2. How to create data frames and read CSV Files

3. How to automate tasks with loops and conditional statements

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

Course Curriculum

Chapter 1: Data Frames

Lecture 1: Introduction to Data Frames

Lecture 2: Various Methods of Creating Data Frames

Lecture 3: Data Frame Methods – Loc vs iLoc

Chapter 2: Control Flow

Lecture 1: Introduction to Control Flow

Lecture 2: Control Flow – Functions

Lecture 3: Control Flow – Conditional Statements

Lecture 4: Control Flow – Loops

Instructors

Rizwan Ahmed
Experienced Finance Professional with Data Analytics Skills

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 13 votes

5 stars: 23 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!