10 ratings
Learn to analyze Time series data using different tasks
Learn to analyze boxplots, linecharts and barcharts
Learn to work with plotly python module
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.
Python Programming
Time Series
Plotly
Data Visualization (DataViz)
Linear Regression
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
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
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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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