Resumo do curso

The Time Series Forecasting course provides students with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts. You will learn:

  • The key components of time series data and forecasting models*
  • How to use ETS (Error, Trend, Seasonality) models to make forecasts
  • How to use ARIMA (Autoregressive, Integrated, Moving Average) models to make forecasts
  • Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx.

This course is part of the Predictive Analytics for Business Nanodegree Program.

Valor do curso
Grátis
Tempo estimado Tempo total entre hoje e dia da formatura depende do seu compromisso semanal. Em média, os nossos graduados completam este nanodegree em 3 semanas
3 semanas
Nível
intermediário
O curso inclui

Videoaulas

Testes interativos

Aulas com profissionais do setor

Ritmo individual de aprendizado

Comunidade de apoio aos alunos

Sua jornada de aprendizagem

Este curso aberto é seu primeiro passo em direção a uma nova carreira com o programa Análise de Tendências para Negócios

Curso Aberto

Time Series Forecasting

por

Enhance your skill set and boost your hirability through innovative, independent learning.

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Pré-requisitos

  • No programming experience required.
  • Interested in using data to make better business decisions.
  • Alteryx license (provided to Nanodegree students at no cost, compatible with Windows only)

Por que fazer este curso?

Predictive analytics has proved to be a powerful tool to help businesses analyze data and predict future outcomes and trends. Making forecasts using advanced analytics is crucial in today’s data-driven economy.

In this course, you’ll learn how to use advanced forecasting models to predict the future. You'll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly.

This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.

Quais são os recursos?
Vídeos dos instrutores Exercícios práticos Aulas com profissionais do setor