Accéder au contenu principal
AccueilTableau

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.

Commencer Le Cours Gratuitement
4 heures13 vidéos37 exercices

Créez votre compte gratuit

GoogleLinkedInFacebook

ou

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.
Group

Formation de 2 personnes ou plus ?

Essayer DataCamp for Business

Apprécié par les apprenants de milliers d'entreprises


Description du cours

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!
Pour les entreprises

Formation de 2 personnes ou plus ?

Donnez à votre équipe l’accès à la plateforme DataCamp complète, y compris toutes les fonctionnalités.
DataCamp Pour Les EntreprisesPour une solution sur mesure , réservez une démo.
  1. 1

    Introduction to Time Series Analysis in Tableau

    Gratuit

    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.

    Jouez Au Chapitre Maintenant
    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!

    Jouez Au Chapitre Maintenant
  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!

    Jouez Au Chapitre Maintenant
Pour les entreprises

Formation de 2 personnes ou plus ?

Donnez à votre équipe l’accès à la plateforme DataCamp complète, y compris toutes les fonctionnalités.

ensembles de données

Workbooks and Datasources

collaborateurs

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

VP at Tracked

Voir Plus

Qu’est-ce que les autres apprenants ont à dire ?

Inscrivez-vous 15 millions d’apprenants et commencer Time Series Analysis in Tableau Aujourd’hui!

Créez votre compte gratuit

GoogleLinkedInFacebook

ou

En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.