- Introduction
- Multidimensional Visualization
- Multidimensional Visualization Tools_Part I
- Multidimensional Visualization Tools_Part II
- Multidimensional Visualization Tools_Part III
What you'll learn
- To discuss various tools used in data visualization
- Identify types of multidimensional visualization
- List and discuss various multidimensional visualization tools
- Outline various open source and commercial visualization tools
Description
When dealing with data sets that include hundreds of thousands or millions of data points, automating the process of data visualization makes a designer’s job significantly easier. Consuming large sets of data isn’t always straightforward. Sometimes, data sets are so large that it’s downright impossible to discern anything useful from them. That’s where data visualizations come in. Creating data visualizations is rarely straightforward. It’s not as if designers can simply take a data set with thousands of entries and create a visualization from scratch. Sure, it’s possible, but who wants to spend dozens or hundreds of hours plotting dots on a scatter chart? That’s where data visualization tools come in. Data visualization tools provide data visualization designers with an easier way to create visual representations of large data sets. When dealing with data sets that include hundreds of thousands or millions of data points, automating the process of creating a visualization, at least in part, makes a designer’s job significantly easier. These data visualizations can then be used for a variety of purposes: dashboards, annual reports, sales and marketing materials, investor slide decks, and virtually anywhere else information needs to be interpreted immediately. In this course we will be discussing various Data Visualization tools which will include Multidimentional Visualization(Type I and Type II), Multidimensional Visualization tools, Open source and commercial visualization tools. This topic is mostly a part of any course on data Science and Data Analytics.
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About the instructors
- 3.76 Calificación
- 5409 Estudiantes
- 2 Cursos
Rutuja Jadhav
Engineer
Myself Rutuja Jadhav I have completed my ME computer engineering. I have 13 year's of teaching experience and my areas of interest include Algorithms, Machine Learning, and Data science etc
Student feedback
Course Rating
Reviews
Audio was low to poor quality
The information given was reflective of the topic. However it was not easy to view items (charts) as she explained each one. Her screen was small and perhaps would translate better if opened wider alongside the charts name to make sure it’s remembered. I appreciate the video as a good introduction or refresher to visualization. Thank you.
May be tools could be elaborated with live examples instead of only screen shorts.
Es bueno, si solo como una introducción al campo de la visualización de datos.