Course Detail()

14.00 CPE Hours (Category 1, Category 2, Category 3, Category 4Category 5, Others)
Live Webinar

Introduction

Machine learning is expected to have a critical impact on the accounting discipline. Current and future accountants must keep abreast themselves with this technology. Accountants must be able to harness the potential of machine learning to leverage accounting data and solve accounting problems. 

This course, Applied Machine Learning with Python for Accountants, starts with machine learning concepts, introduces machine learning algorithms (models) and their applications in accounting domains. The course covers common machine learning algorithms such as regression, classification and clustering. Participants will have hands-on experience using Python to apply proper machine learning models on the accounting domain.

 

Programme Objective

The objective of this course is to help participants to understand machine learning algorithms (i.e., regression, classification, and clustering and how these algorithms can be applied in the accounting domain. Once participants fully understood the concept, the course will guide participants to apply the concept using Machine Learning application. 

Programme Outline

Day 1

  1. Introduction to Python
  2. Python Programming Practice
  3. Data Crunching and Visualization with Python
  4. Hands-on Practice with Python

Day 2
  1. Machine Learning Concept
  2. Machine Learning Algorithm - Regression
  3. Machine Learning Algorithm - Classification
  4. Machine Learning Algorithm - Clustering
  5. Hands-on Practice Machine Learning with Python


Pre-requisites

Please take note of the following admission requirements:

  1. Trainings will be conducted on Zoom platform, thus video camera and microphone are compulsory
  2. Mandatory for video camera to be turned on throughout the course
  3. Display your official name (as per NRIC) in Zoom, to facilitate attendance taking


Training Methodology

Lecture style and workshop. Instructor will guide participants through case studies.

Closing Date for Registration

1 week before programme or until full enrolment.

Intended For

Accountants, auditors and other business professionals who need to know more about machine learning workflow and applications and learn how to harness the potential of machine learning to manage accounting data and solve accounting problems. No Python coding experience is required for this course.

Schedule & Fees

Testimonial

Funding

No funding Available!

Programme Facilitator(s)

Introduction

Machine learning is expected to have a critical impact on the accounting discipline. Current and future accountants must keep abreast themselves with this technology. Accountants must be able to harness the potential of machine learning to leverage accounting data and solve accounting problems. 

This course, Applied Machine Learning with Python for Accountants, starts with machine learning concepts, introduces machine learning algorithms (models) and their applications in accounting domains. The course covers common machine learning algorithms such as regression, classification and clustering. Participants will have hands-on experience using Python to apply proper machine learning models on the accounting domain.

 

Programme Objective

The objective of this course is to help participants to understand machine learning algorithms (i.e., regression, classification, and clustering and how these algorithms can be applied in the accounting domain. Once participants fully understood the concept, the course will guide participants to apply the concept using Machine Learning application. 

Programme Outline

Day 1

  1. Introduction to Python
  2. Python Programming Practice
  3. Data Crunching and Visualization with Python
  4. Hands-on Practice with Python

Day 2
  1. Machine Learning Concept
  2. Machine Learning Algorithm - Regression
  3. Machine Learning Algorithm - Classification
  4. Machine Learning Algorithm - Clustering
  5. Hands-on Practice Machine Learning with Python


Pre-requisites

Please take note of the following admission requirements:

  1. Trainings will be conducted on Zoom platform, thus video camera and microphone are compulsory
  2. Mandatory for video camera to be turned on throughout the course
  3. Display your official name (as per NRIC) in Zoom, to facilitate attendance taking


Training Methodology

Lecture style and workshop. Instructor will guide participants through case studies.

Closing Date for Registration

1 week before programme or until full enrolment.

Intended For

Accountants, auditors and other business professionals who need to know more about machine learning workflow and applications and learn how to harness the potential of machine learning to manage accounting data and solve accounting problems. No Python coding experience is required for this course.

Programme Facilitator(s)


No course instances or course instance sessions available.