Analyzing Data Visualization Requirements

Being able to create visualizations is a powerful skill that you can learn.  This course teaches you how to analyze your dataset and requirements, and how to adjust your visualization to create the most impactful visualization possible.

4|Reviews (31)
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₹50,004
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₹2,370/mo

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Relevant for professionals pursuing roles within Data Science.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Visualizing Quantities or Qualities : 23mins.
  • Visualizing Numerical Data and Categories : 33mins.
  • Visualizing to Explain or Explore : 29mins.
  • Selecting Data to Explain or Explore : 19mins.
  • Displaying the Appropriate Level of Detail : 29mins.
  • Providing an Appropriate Visualization for Your Audience : 23mins.
  • Applying Data Visualization Requirement Analysis : 21mins.
See side-by-side differences in what you’ll learn

Description

At the core of creating meaningful data visualizations is a thorough knowledge of understanding your data and your visualization requirements. In this course, Analyzing Data Visualization Requirements, you'll learn how to prepare to build data visualizations. First, you'll learn how to distinguish different types of data. Next, you'll discover how to use visualizations to explore a dataset, or explain a point. Finally, you'll examine how to adapt a visualization for a specific audience and medium. When you're finished with this course, you'll have a foundational knowledge of data visualizations that will help you as you move forward to create visualizations for your own datasets.

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