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Visualizing Time Series Data in Python

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Data Science is all about using time series data. Time series data is a common tool for data scientists. They are used to analyze business trends, predict company revenues, and investigate customer behavior. This course will teach you Python and help you visualize time series data.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Data Visualization with Matplotlib

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Manipulating Time Series Data in Python

What You Will Learn

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

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You will learn how to leverage basic plottings tools in Python, and how to annotate and personalize your time series plots

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In this chapter, you will gain a deeper understanding of your time series data by computing summary statistics and plotting aggregated views of your data

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You will go beyond summary statistics by learning about autocorrelation and partial autocorrelation plots

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In the field of Data Science, it is common to be involved in projects where multiple time series need to be studied simultaneously

Course Instructors

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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 enj...

Course Reviews

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5.0

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Course Cover

$12

$6

49% OFF

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