One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find actionable insight related to business problems. Some algorithms are used for predicting numeric outcomes, while others are used for predicting the classification of an outcome. Other algorithms are used for creating meaningful groups from a rich set of data. Upon completion of this course, you will be able to describe when each algorithm should be used. You will also be given the opportunity to use R and RStudio to run these algorithms and communicate the results using R notebooks.

About this Course
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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 6 in the
Intermediate Level
Experience using R to assemble data, summarize data, and visually explore data.
Approx. 13 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat 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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 4 of 6 in the
Intermediate Level
Experience using R to assemble data, summarize data, and visually explore data.
Approx. 13 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessStart working towards your Master's degree
This course is part of the 100% online Master of Business Administration (iMBA) 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
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
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
2 hours to complete
Module 3: Classification Algorithms
2 hours to complete
12 videos (Total 82 min), 2 readings, 1 quiz
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

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