Python Programming for Accountants and Auditors

Training Provider: SINGAPORE INSTITUTE OF TECHNOLOGY
Course Reference: TGS-2021006980
S$300
Original: S$1,000
Save S$700

About This Course

Course objectives include the following topics:
- Introduction to Python
This topic introduces participants with Python. Participants will also understand how they can use Python in accounting and auditing contexts.
- Python structures
This topic guides participant to comprehend Python syntax, data types, conditional statements, and functions.
- Python packages
As accountants and auditors, you do not need to develop programme from the scratch. There are multiple packages in Python that you can use to solve problems. In these topics, you will be guided to use some Python packages and modified them to solve relevant problems.
- Case study is provided to help participants implement what they have learnt in the previous topics.

What You'll Learn

There are several tools that accountants can use to perform some of the analysis they need, but they lack consistent workflow, cost, and repeatability. Most software used in accounting also has its limitations, but the possibilities are endless with programming. The user interface no longer becomes a barrier in what you can do when you use a programming language. You have complete control over your data and what it can do for you.
Programming languages are easy to learn, it’s free, and the analytics are repeatable. There are two advantages to programming. First, the options are very marketable and expand the range of options available. Second, the code is very flexible and portable, meaning it does not tie you to a specific vendor and can customize your approach as much as you need. With the proliferation of cloud services and the variety of cloud solutions available, it is imperative to perform business-critical analytics with minimal effort. The range of analytics possible with a programming language is vast. Python is one of the most widely used programming languages in data science. It supports machine learning methods and visualization techniques.

Entry Requirements

Understand basic analytics

Course Details

Duration 8 hours
Language Not specified
Training Commitment Not specified
Total Enrolled New course
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