Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Machine Learning for Accounting with Python is an intermediate-level certification course offered by the University of Illinois at Urbana-Champaign. The online course can be covered by the learners within about 64 hours. Machine Learning for Accounting with Python Certification Syllabus will walk you through the application of machine learning algorithms in problems related to accounting.
Learning for Accounting with Python Certification Course, offered by Coursera, is the third in the four courses in the Accounting Data Analytics Specialization. Through the online course, the learners will be able to understand classification, clustering, Python programming, machine learning and the like. Machine Learning for Accounting with Python Certification by Coursera is an online programme prepared in a way that enables the students to take the course at their convenience and time.
The Highlights
- Provided by Coursera
- Offered by the University of Illinois at Urbana-Champaign
- Self-Paced Learning Option
- Intermediate level course
- 100% Online Course
- Around 64 Hours to Complete
- Flexible Deadlines
- Shareable Certificate
- Financial Aid Available
Programme Offerings
- English videos with multiple subtitles
- BeginnerLevel course
- Shareable Certificate
- Financial aid available
- Course Videos & Readings
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback
- Graded Programming Assignments.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | University of Illinois, Urbana ChampaignCoursera |
The fees for the course Machine Learning for Accounting with Python is -
| Head | Amount in INR |
| 1 month | Rs. 4,117 |
| 3 month | Rs. 8,234 |
| 6 month | Rs. 12,352 |
Eligibility Criteria
Academic Qualifications
As the Machine Learning for Accounting with Python Certification Course is the third programme in the Accounting Data Analytics Specialization, the learners are required to complete the previous courses in the specialization to be eligible for pursuing the online programme.
What you will learn
After the Machine Learning for Accounting with Python Training, the students can understand:
- Text analysis
- Basic time series analysis
- Machine learning model evaluation and optimization
- Machine learning algorithms.
- Application of machine learning models on datasets with Python in Jupyter Notebook.
- Evaluation and optimization of machine learning models.
Who it is for
Machine Learning for Accounting with Python Classes is a suitable programme for those who want to learn the application of machine learning models in accounting to professionals like Accountant, Account Manager, Python Programmer and whatnot.
Admission Details
Step 1 - Browse the official URL
https://www.coursera.org/learn/machine-learning-accounting-python
Step 2 - Choose the option ‘Enroll’ and start taking the online course.
The Syllabus
Videos
- Course Introduction
- About Linden Lu
- Learn on Your Terms
Readings
- Syllabus
- Glossary
- Learn More About Flexible Learning Paths
- Update Your Profile
Videos
- Module 1 Introduction
- 1.1 Introduction to Machine Learning
- 1.2 Introduction to Data Preprocessing
- 1.3 Introduction to Machine Learning Algorithms
Reading
- Module 1 Overview and Resources
Practice Exercise
- Module 1 Quiz
Videos
- Module 2 Introduction
- 2.1 Introduction to Linear Regression
- 2.2 Introduction to Logistic Regression
- 2.3 Introduction to Decision Tree
Reading
- Module 2 Overview and Resources
Practice Exercise
- Module 2 Quiz
Videos
- Module 3 Introduction
- 3.1 Introduction to K-nearest Neighbors
- 3.2 Introduction to Support Vector Machine
- 3.3 Introduction to Bagging and Random Forest
Reading
- Module 3 Overview and Resources
Practice Exercise
- Module 3 Quiz
Videos
- Module 4 Introduction
- 4.1 Regressive Evaluation Metrics
- 4.2 Classification Evaluation Metrics I
- 4.3 Classification Evaluation Metrics II
Reading
- Module 4 Overview and Resources
Practice Exercise
- Module 4 Quiz
Videos
- Module 5 Introduction
- 5.1 Introduction to Feature Selection
- 5.2 Introduction to Cross-Validation
- 5.3 Introduction to Model Selection
Reading
- Module 5 Overview and Resources
Practice Exercise
- Module 5 Quiz
Videos
- Module 6 Introduction
- 6.1 Introduction to Text Analytics
- 6.2 Introduction to Text Classification
- 6.3 Introduction to Text Classification II
Reading
- Module 6 Overview and Resources
Practice Exercise
- Module 6 Quiz
Videos
- Module 7 Introduction
- 7.1 Introduction to K-means Clustering
- 7.2 K-means Case Study
- 7.3 Introduction to Density Based Clustering
Reading
- Module 7 Overview and Resources
Practice Exercise
- Module 7 Quiz
Videos
- Module 8 Introduction
- 8.1 Working with Dates and Times
- 8.2 Analyzing Time Series Data
- Gies Online Programs
Readings
- Module 8 Overview and Resources
- Congratulations!
- Get Your Course Certificate
Practice Exercise
- Module 8 Quiz