Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
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Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s essential to understand how to choose the right data sets, algorithms, techniques and formats to solve a particular business problem. In this course, part of the Analytics: Essential Tools and Methods MicroMasters program, you’ll gain an intuitive understanding of fundamental models and methods of analytics and practice how to implement them using common industry tools like R. You’ll learn about analytics modeling and how to choose the right approach from among the wide range of options in your toolbox. You will learn how to use statistical models and machine learning as well as models for: classification; clustering; change detection; data smoothing; validation; prediction; optimization; experimentation; decision making.
Difficulty Level
Advanced
Prior experience recommended
Subject Category
Data Analysis & Statistics, Engineering
Part of our Data Analysis & Statistics, Engineering curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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