Time Series Data Visualization And Analysis Techniques

Offered By
Coursera Project Network
In this Free Guided Project, you will:

Learn to analyze Time series data using different tasks

Learn to analyze boxplots, linecharts and barcharts

Learn to work with plotly python module

Showcase this hands-on experience in an interview

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project we will learn how to analyze time series data. We are going to talk about different visualization techniques for time series datasets and we are going to compare them in terms of the tasks that we can solve using each of them. Tasks such as outlier detection, Key moments detection and overall trend analysis. During this project, we will learn how and when to use Line charts, Bar charts, and Boxplot. We will also learn some techniques about color mapping and we will understand how it can help us for a better analysis and understanding of our data.

Requirements

Good Knowledge of Python Programming language and Plotly module. Experienced with Jupyter notebook. Familiarity with basics of data visualization.

Skills you will develop

Python ProgrammingTime SeriesPlotlyData Visualization (DataViz)Linear Regression

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction to the project

  2. Data Preprocessing

  3. Analyzing Global temperature from 1995 to 2019

  4. Comparing yearly average temperature of different regions over time

  5. Analyzing Monthly average temperature in Canada

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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