メインコンテンツへスキップ

コース

Time Series Analysis in Tableau

中級2 時間

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.

Python2 時間13 本の動画37 個の演習2,850 XP2,846修了証明書

無料アカウントを作成

Google で続行
または
続行することで、 利用規約、私たちの プライバシーポリシー そして、あなたのデータが米国に保存されること。

何千もの企業の学習者に支持されています

チームのトレーニングをお考えですか?

ビジネス向けに試す

コース説明

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!

前提条件

カリキュラム

コース概要

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.
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!
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!

Time Series Analysis in Tableau

コース修了

達成証明書を取得する

今すぐ登録

DataCamp for Mobileでデータスキルを磨きましょう

モバイルコースと毎日5分のコーディングチャレンジで、外出先でも学習を進めましょう。