Introduction to Data Visualization Tools

Data Visualization
Free tutorial
Rating: 4.2 out of 5 (17 ratings)
1,470 students
35min of on-demand video
English
English [Auto]

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

Requirements

  • Basics about Data Science and Data Analytics

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. 

Who this course is for:

  • Beginners who are curious to learn Data Science and Data Analytics

Instructor

Rutuja Jadhav
  • 4.2 Instructor Rating
  • 25 Reviews
  • 2,302 Students
  • 2 Courses

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

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