Introduction to Analytics Modeling (edX)

Introduction to Analytics Modeling (edX)
Course Auditing
Categories
Effort
Certification
Languages
Probability and statistics. Basic programming proficiency. Linear algebra. Basic calculus
Misc

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Introduction to Analytics Modeling (edX)
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights. Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data.

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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.


This course is part of the Analytics: Essential Tools and Methods MicroMasters


What you'll learn

- Fundamental analytics models and methods

- How to use analytics software, including R, to implement various types of models

- Understanding of when to apply specific analytics models



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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
699.00 EUR
Probability and statistics. Basic programming proficiency. Linear algebra. Basic calculus

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.