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Time Series Analysis in Tableau

IntermediateSkill Level
4.7+
149 reviews
Updated 11/2023
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.
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TableauData Visualization2 hr13 videos37 Exercises2,850 XP2,726Statement of Accomplishment

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Course Description

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!

Prerequisites

Calculations in Tableau
1

Introduction to Time Series Analysis in Tableau

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.
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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!
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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!
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Time Series Analysis in Tableau
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*4.7
from 149 reviews
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  • Mark
    2 days ago

    The third chapter of this course was definitely better than the first one. I feel confident in finding anamolous time periods.

  • Aza
    4 days ago

  • Napaporn
    last week

  • Jada
    last week

  • Sarah
    2 weeks ago

  • Maxim
    3 weeks ago

    nice brief course, perfect to get general ideas about z-score, anomalies and working with date type, without too many details, a lot of exercises as usual. I couldnt understand the lecturer at first, so read the subtitiles, but i got used with time to the voice so its fine

Aza

Napaporn

"nice brief course, perfect to get general ideas about z-score, anomalies and working with date type, without too many details, a lot of exercises as usual. I couldnt understand the lecturer at first, so read the subtitiles, but i got used with time to the voice so its fine"

Maxim

FAQs

What specific time series techniques will I learn in Tableau?

You will learn seasonality analysis, trend analysis, anomaly detection, window functions, moving averages, and Z-value-based anomaly classification, all built using Tableau.

Do I need prior Tableau experience?

Yes. You should have completed Introduction to Tableau, Analyzing Data in Tableau, and Calculations in Tableau before starting this intermediate course.

What kind of real-world scenario is used in the final chapter?

You will build anomaly classifiers to identify optimal pricing arbitrage opportunities for a trading company and compare multiple anomaly detection techniques.

Does the course cover data cleaning for time series?

Yes. Chapter 2 teaches you how to reshape, split, and rejoin time series data using Tableau date functions to prepare it for univariate and multivariate analysis.

How long does this course take to complete?

The course has 3 chapters with 37 exercises and is estimated at 120 minutes. Most learners complete it in about 2 to 3 hours.

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