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



Time Series Data Visualization And Analysis Techniques

Instructor: Ahmad Varasteh
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(17 reviews)
Recommended experience
What you'll learn
Learn to analyze Time series data using different tasks
Learn to analyze boxplots, linecharts and barcharts
Learn to work with plotly python module
Skills you'll practice
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About this Guided Project
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In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to the project
Data Preprocessing
Analyzing Global temperature from 1995 to 2019
Comparing yearly average temperature of different regions over time
Analyzing Monthly average temperature in Canada
Recommended experience
Good Knowledge of Python Programming language and Plotly module. Experienced with Jupyter notebook. Familiarity with basics of data visualization.
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Practice new skills by completing job-related tasks.
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Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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