Курс Introduction to Analytics Modeling

Payment
Обучение бесплатное
Certificate
Сертификация платная
Duration
2 месяца
О курсе

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.
Программа
Introduction to Analytics Modeling
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Introduction to Analytics Modeling
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Introduction to Analytics Modeling
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Introduction to Analytics Modeling
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Introduction to Analytics Modeling
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Introduction to Analytics Modeling
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Что Вы изучите?
  • 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
Лекторы
Joel Sokol
Joel Sokol
Professor and Director of the Master of Science in Analytics Program (On campus and Online) The Geor...

He received his PhD in operations research from MIT and his bachelor’s degrees in mathematics, computer science, and applied sciences in engineering from Rutgers University. His primary research interests are in sports analytics and applied operations research. He has worked with teams or leagues in all three of the major American sports. Dr. Sokol's LRMC method for predictive modeling of the NCAA basketball tournament is an industry leader, and his non-sports research has won the EURO Management Science Strategic Innovation Prize. Dr. Sokol has also won recognition for his teaching and curriculum development from IIE and the NAE, and is the recipient of Georgia Tech's highest awards for teaching.

Платформа
EdX
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.
Introduction to Analytics Modeling