Saltar al contenido principal
InicioTableauTime Series Analysis in Tableau

Time Series Analysis in Tableau

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Comience El Curso Gratis
4 horas13 vídeos37 ejercicios

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
Group

¿Entrenar a 2 o más personas?

Probar DataCamp for Business

Preferido por estudiantes en miles de empresas


Descripción del curso

Time series is all around us; from the post you’ve made on Twitter, to the daily fluctuations in the financial markets - these are all examples of time-series data points that need to be analyzed. In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Discover the power of time series

You’ll start with the basics where you’ll learn the different types of time series that exist, as well as the analytical methodologies to analyze this. Once you’ve got the fundamentals down, you’ll learn how to reformat time series data in preparation for univariate and multivariate visualizations.

Data Preparation & Time series

Everyone wants to analyze data, but it’s important we clean this up as well. We’ll learn how to clean up time-series data using Tableau’s date functions where we’ll reshape our data based on the different time context we’re interested in. Additionally, we’ll learn the ins and outs of using LODs to automate these calculations for us!

Analyzing Time series Data

In the final parts of this course, you’ll learn about statistical techniques like Z-Values, where you’ll your very own Anomaly detection fields in Tableau to identify optimal arbitrage opportunities for a trading company! You’d have learnt what time series is, how to treat it, and more importantly, how to use statistical measures to tell an impactful story. Let’s get started!
Empresas

Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más
Pruebe DataCamp Para EmpresasPara obtener una solución a medida, reserve una demostración.
  1. 1

    Introduction to Time Series Analysis in Tableau

    Gratuito

    In this chapter, we’ll begin our journey by understanding the different types of time series that exist, as well as the analytical methodologies to analyze this. Once you’ve understood the fundamental concepts, you’ll learn how to reformat time series data in preparation for univariate and multivariate visualizations.

    Reproducir Capítulo Ahora
    An introduction to time series
    50 xp
    Time series classification
    100 xp
    Date time formatting in Tableau
    50 xp
    Reformatting with datename
    100 xp
    Partitioning with datepart
    100 xp
    Date transformations and visualizations
    50 xp
    Date time knowledge check
    50 xp
    Reformatting dates in Tableau
    50 xp
    Truncating dates
    100 xp
    Calculating durations from date timestamps
    100 xp
    Classifying time series data
    100 xp
    Analyzing ridership behaviour
    100 xp
  2. 2

    Data Preparation for Time Series Analysis

    Everyone wants to analyze data, but it’s important the data is clean. In this chapter, we’ll learn how to clean up time series data using Tableau’s inbuilt date functions where we’ll reshape, split and rejoin our data based on the different time context we’re interested in. Beyond this, we’ll dive into the concepts of seasonality, trend analysis and anomaly detection!

    Reproducir Capítulo Ahora
  3. 3

    Windowing Functions and Moving Averages in Tableau

    In this final chapter, you’ll learn all about the powers of window functions and statistical techniques like Z-Values, where you’ll create your very own anomaly classifiers to identify optimal pricing arbitrage opportunities for a trading company! In the second part of this chapter, we’ll compare multiple anomaly detection techniques, equipping you with a broad range of approaches to treating and analyzing time series!

    Reproducir Capítulo Ahora
Empresas

Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más

conjuntos de datos

Workbooks and Datasources

colaboradores

Collaborator's avatar
Maarten Van den Broeck
Collaborator's avatar
Carl Rosseel
Collaborator's avatar
Jess Ahmet

requisitos previos

Calculations in Tableau
Chris Hui HeadshotChris Hui

VP at Tracked

Ver Más

¿Qué tienen que decir otros alumnos?

¡Únete a 14 millones de estudiantes y empieza Time Series Analysis in Tableau hoy mismo!

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.