Time Series Data Visualization And Analysis Techniques
About this Course
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.Created by: Coursera Project Network
Related Online Courses
The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of... more
Embark on a journey through the intricacies of neural networks using PyTorch, a powerful framework favored by professionals and researchers alike. The course begins with an in-depth exploration of... more
By the end of this course you will be able to start working with utility types and template literals in React applications. We will start by focusing on the core utility types reinforced by code... more
Embark on a journey through the intricate landscape of the Scaled Agile Framework with the \"Introduction to SAFe: Navigating Scaled Agile Framework\" course, designed to provide participants with... more
This course gives you easy access to knowledge and tools that will allow you to prioritize and strengthen mental health in a work environment. Whether you work from home, or an office, you\'ll... more
Powered by
