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Machine Learning for Accounting with Python
This course is part of Accounting Data Analytics.
Course Cost
Free course
Intermediate
Skill Level
61 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Accounting Data Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Apply various machine learning algorithms to accounting problems
Implement classification and regression models using Python
Perform text analysis and time series analysis on financial data
Evaluate and optimize machine learning models
Develop practical skills in using Jupyter Notebook for data analysis
Skills you'll gain
This course includes:
2.8 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This comprehensive course introduces machine learning algorithms and their applications in accounting. It covers classification, regression, clustering, text analysis, and time series analysis, with a focus on model evaluation and optimization. Students learn to apply machine learning models to business datasets using Python in Jupyter Notebook, building on prerequisites from Accounting Data Analytics with Python. The course completes the data analytics process by covering modeling and model evaluation, enabling students to perform end-to-end data analytics in accounting contexts.
Introduction to the Course
Module 1 · 1 Hours to complete
Introduction to Machine Learning
Module 2 · 8 Hours to complete
Fundamental Algorithms I
Module 3 · 8 Hours to complete
Fundamental Algorithms II
Module 4 · 7 Hours to complete
Model Evaluation
Module 5 · 8 Hours to complete
Model Optimization
Module 6 · 7 Hours to complete
Introduction to Text Analysis
Module 7 · 8 Hours to complete
Introduction to Clustering
Module 8 · 7 Hours to complete
Introduction to Time Series Data
Module 9 · 7 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Accounting Data Analytics
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Faculties
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Frequently asked Questions
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