About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 63 hours to complete
English

What you will learn

  • The concept of various machine learning algorithms.

  • How to apply machine learning models on datasets with Python in Jupyter Notebook.

  • How to evaluate machine learning models.

  • How to optimize machine learning models.

Skills you will gain

Text AnalysisBasic Time Series AnalysisMachine Learning Model Evaluation and OptimizationPython ProgrammingMachine Learning Modeling
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 63 hours to complete
English

Instructor

Offered by

Placeholder

University of Illinois at Urbana-Champaign

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Accountancy (iMSA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

INTRODUCTION TO THE COURSE

1 hour to complete
2 videos (Total 9 min), 3 readings
8 hours to complete

MODULE 1: INTRODUCTION TO MACHINE LEARNING

8 hours to complete
4 videos (Total 24 min), 1 reading, 2 quizzes
Week
2

Week 2

8 hours to complete

MODULE 2: FUNDAMENTAL ALGORITHMS I

8 hours to complete
4 videos (Total 31 min), 1 reading, 2 quizzes
Week
3

Week 3

8 hours to complete

MODULE 3: Fundamental Algorithms II

8 hours to complete
4 videos (Total 15 min), 1 reading, 2 quizzes
Week
4

Week 4

8 hours to complete

MODULE 4: MODEL EVALUATION

8 hours to complete
4 videos (Total 31 min), 1 reading, 2 quizzes

About the Accounting Data Analytics Specialization

Accounting Data Analytics

Frequently Asked Questions

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