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

Experience using R to assemble data, summarize data, and visually explore data.

Approx. 14 hours to complete
English

What you will learn

  • 1. Conceptual framework of ML algorithms

    2. Conceptual foundation for interpreting ML results

    3. Practice applying ML algorithms to business data

Skills you will gain

  • clustering
  • regression
  • R Programming
  • classification
  • prediction
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

Experience using R to assemble data, summarize data, and visually explore data.

Approx. 14 hours to complete
English

Offered by

Placeholder

University of Illinois at Urbana-Champaign

Start working towards your degree

This Course is part of an online degree program offered by the University of Illinois at Urbana-Champaign. When you apply for a for-credit non-degree course through the university and complete it online, it counts as credit hours towards a degree at Illinois. All you have to do is apply through the university.

Syllabus - What you will learn from this course

Week
1
Week 1
6 hours to complete

Course Orientation and Module 1: Regression Algorithm for Testing and Predicting Business Data

6 hours to complete
16 videos (Total 111 min), 5 readings, 3 quizzes
Week
2
Week 2
2 hours to complete

Module 2: Framework for Machine Learning and Logistic Regression

2 hours to complete
14 videos (Total 98 min), 2 readings, 1 quiz
Week
3
Week 3
2 hours to complete

Module 3: Classification Algorithms

2 hours to complete
12 videos (Total 82 min), 2 readings, 1 quiz
Week
4
Week 4
3 hours to complete

Module 4: Clustering Algorithms

3 hours to complete
13 videos (Total 84 min), 4 readings, 1 quiz

About the Business Analytics Specialization

Business Analytics

Frequently Asked Questions

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