Visualizing Time Series Data in Python

Visualize seasonality, trends and other patterns in your time series data.

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4 Hours17 Videos59 Exercises15,483 Learners
4850 XP

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Course Description

Time series data is omnipresent in the field of Data Science. Whether it is analyzing business trends, forecasting company revenue or exploring customer behavior, every data scientist is likely to encounter time series data at some point during their work. To get you started on working with time series data, this course will provide practical knowledge on visualizing time series data using Python.

  1. 1

    Line Plots

    Free

    You will learn how to leverage basic plottings tools in Python, and how to annotate and personalize your time series plots. By the end of this chapter, you will be able to take any static dataset and produce compelling plots of your data.

    Play Chapter Now
    Welcome to the course!
    50 xp
    Load your time series data
    100 xp
    Test whether your data is of the correct type
    100 xp
    Plot your first time series
    50 xp
    Your first plot!
    100 xp
    Specify plot styles
    100 xp
    Display and label plots
    100 xp
    Customize your time series plot
    50 xp
    Subset time series data
    100 xp
    Add vertical and horizontal markers
    100 xp
    Add shaded regions to your plot
    100 xp

In the following tracks

Time Series

Collaborators

Sumedh PanchadharLore Dirick
Thomas Vincent Headshot

Thomas Vincent

Head of Data Science at Getty Images

Thomas is an experienced statistician and programmer who is passionate about developing tools and pipelines to discover and retrieve underlying phenomenons and patterns in modern-day datasets. He enjoys applying his statistical skills to solve practical problems and blogs about his analyses at tlfvincent.github.io.
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