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Introduction to Data Visualization

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Introduction to Data Visualization, available at $22.99, has an average rating of 4.75, with 27 lectures, 3 quizzes, based on 944 reviews, and has 12840 subscribers.

You will learn about Learn and understand the importance of data visualization. Learn what is user experience in data visualization and its importance. Learn about basic and advance chart types used in data visualization. Learn the psychology of visualization with Gestalt Principles. Get a solid understanding of how people work in data visualization project. This course is ideal for individuals who are People who want to get into data visualization. or Developers who want to work in analytics and visualization project. or Web, Mobile App and Software Designer. or Design thinker. or Graduate Students and University Students. It is particularly useful for People who want to get into data visualization. or Developers who want to work in analytics and visualization project. or Web, Mobile App and Software Designer. or Design thinker. or Graduate Students and University Students.

Enroll now: Introduction to Data Visualization

Summary

Title: Introduction to Data Visualization

Price: $22.99

Average Rating: 4.75

Number of Lectures: 27

Number of Quizzes: 3

Number of Published Lectures: 27

Number of Published Quizzes: 3

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn and understand the importance of data visualization.
  • Learn what is user experience in data visualization and its importance.
  • Learn about basic and advance chart types used in data visualization.
  • Learn the psychology of visualization with Gestalt Principles.
  • Get a solid understanding of how people work in data visualization project.

Who Should Attend

  • People who want to get into data visualization.
  • Developers who want to work in analytics and visualization project.
  • Web, Mobile App and Software Designer.
  • Design thinker.
  • Graduate Students and University Students.

Target Audiences

  • People who want to get into data visualization.
  • Developers who want to work in analytics and visualization project.
  • Web, Mobile App and Software Designer.
  • Design thinker.
  • Graduate Students and University Students.

  • If you want to work in exciting analytics and data visualization project, then this is the starting point for you.
  • Data is the currency of now and potential to use it the right way, at the right time for the right reason gives you possibility beyond imagination.
  • Data visualization is a vast topic and consist of many sub-parts which are a subject in itself, we in our course have tried to paint a clear picture of what you need to know and what people will be looking of you in a visualization project.
  • UX in Data visualization is key in modern times to meet the expectation of your user, this course will highlight what are the benefits of using a good UX and how to do it.
  • This course is structured to provide all the key aspect of Data visualization in most simple and clear fashion.So you can start the journey in Data visualization world.

Course Curriculum

Chapter 1: Introduction to Data Visualization

Lecture 1: Why is Data so important ?

Lecture 2: Why do we need Multimedia to make sense of data ?

Lecture 3: What do you mean by Data Visualization ?

Lecture 4: What is DIKW and why is it important in Data Visualization ?

Chapter 2: Importance of User Experience (UX) in Data Visualization

Lecture 1: Why is UX so important in Data Visualization ?

Lecture 2: Give me some keypoints to remember for Data Visualization

Lecture 3: Can you tell me more about UX ?

Chapter 3: Goals in Data Visualization

Lecture 1: What are the challenges in Data Visualization ?

Lecture 2: What are the goals of Data Visualization ?

Chapter 4: Theory behind Data Visualization

Lecture 1: What is the theory behind world class Data Visualization ?

Lecture 2: How to use this theory into real life Data Visualization ?

Chapter 5: Using differentiation in Data Visualization

Lecture 1: How to show differentiation in Data Visualization ?

Lecture 2: How to show differentiation in Data Visualization ? Give me some examples.

Lecture 3: How to show differentiation in Data Visualization ? Key points.

Chapter 6: Different chart types and when to use each one

Lecture 1: What chart types to use and when ? Bar chart, Line chart, Timeline, Area chart

Lecture 2: What chart types to use and when ? Scatter plot and Bubble chart.

Lecture 3: What chart types to use and when ? Pie chart.

Lecture 4: What is the importance of scale in Data Visualization ?

Lecture 5: What are legends and their importance in Data Visualization ?

Lecture 6: What to do for high-dimensional data ?

Chapter 7: Starting your design for Data Visualization

Lecture 1: Why starting a creative Data Visualization is a difficult task ?

Lecture 2: What is the importance of telling a story in Data Visualization ?

Chapter 8: Working with customers

Lecture 1: How to handling customers in a Data Visualization project

Chapter 9: Technology involved in Data Visualization

Lecture 1: Which technology to choose in Data Visualization ?

Lecture 2: What are the different technologies available for me to select from ?

Chapter 10: Summary of the course

Lecture 1: Summary

Chapter 11: Know Your Instructor

Lecture 1: About Your Instructor

Instructors

Rating Distribution

  • 1 stars: 27 votes
  • 2 stars: 46 votes
  • 3 stars: 165 votes
  • 4 stars: 362 votes
  • 5 stars: 344 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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