Introduction to Data Visualization
4.2 (462 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
10,579 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Introduction to Data Visualization to your Wishlist.

Add to Wishlist

Introduction to Data Visualization

Learn why, what, how about data visualization in simple and easy way
4.2 (462 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
10,579 students enrolled
Last updated 11/2016
English
Price: Free
Includes:
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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.
View Curriculum
Requirements
  • Having a basic understanding about terminologies used in web technologies and design.
Description
  • 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.


Who is the target audience?
  • 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.
Students Who Viewed This Course Also Viewed
Curriculum For This Course
27 Lectures
01:35:15
+
Introduction to Data Visualization
4 Lectures 12:52

In this lecture, we are going to see why Data is valued now as currency, exactly like oil: it needs to go through a process of refinement before we are able to use it.

We will talk about the steps we need to pass through before we can extract value out of Data.

Why is Data so important ?
03:09

In this lecture, we are going to see how to make the data visualization more effective and how our human mind consumes the data visualization more effectively.

Why do we need Multimedia to make sense of data ?
02:17

In this lecture, we are going to know what actually means to visualize data.

What do you mean by Data Visualization ?
03:49

In this lecture, we are going to see what is DIKW Hierarchy and how it is applied to real world problems.

What is DIKW and why is it important in Data Visualization ?
03:37
+
Importance of User Experience (UX) in Data Visualization
3 Lectures 10:19

In this lecture, we are going to understand the implications of good UX and bad UX in data visualization.

Why is UX so important in Data Visualization ?
03:11

We are going to understand the key points which a Data Visualization designer should consider before creating a design.

Give me some keypoints to remember for Data Visualization
03:35

In this lecture, we will go through the timeless UX principles which can be used in a Data Visualization design, website or mobile App.

Can you tell me more about UX ?
03:33
+
Goals in Data Visualization
2 Lectures 07:08

We will understand what are the challenges which are involved in Data visualization and how the different forms of communication can help in solving the challenges.

What are the challenges in Data Visualization ?
03:08

In this lecture, we will look into two main forms of visualization that are explanatory and exploratory, why they are different and when to use each of them.

What are the goals of Data Visualization ?
04:00
+
Theory behind Data Visualization
2 Lectures 10:55

A great Data visualization is grounded by the timeless principles of human mind and how it can be triggred effectively to communicate.

Gestalt Psychology explains those principles in a very simple way.

What is the theory behind world class Data Visualization ?
03:06

In this lecture, we are going to show you, with examples, how these differentiation points are implemented in data visualization.

How to use this theory into real life Data Visualization ?
07:49

Q&A
5 questions
+
Using differentiation in Data Visualization
3 Lectures 10:09

One of the key challenges in data visualization is to understand how to show it in a way that users can differentiate among different data points.

We are going to see what are these differentiation points which we can use in our data visualization.

How to show differentiation in Data Visualization ?
02:38

In this lecture, we are going to show you, with examples, how these differentiation points are implemented in data visualization.

How to show differentiation in Data Visualization ? Give me some examples.
05:17

Finally, regarding the differentiation points, there are a few points which people often miss out. We will show what not to do in a data visualization.

How to show differentiation in Data Visualization ? Key points.
02:14
+
Different chart types and when to use each one
6 Lectures 21:05

The most important decision in data visualization design is to answer which chart types to select.

In this lecture, we will see bar charts, line charts, timelines and area charts, in detail.

What chart types to use and when ? Bar chart, Line chart, Timeline, Area chart
06:13

We are going to continue our discussion of previous lecture, with scatter plot, which can show positive and negative correlations, and bubble chart.

What chart types to use and when ? Scatter plot and Bubble chart.
02:14

Finally, we are going to understand the pie chart and see when to use it and when not to use it.

What chart types to use and when ? Pie chart.
02:33

In this lecture, we will understand why a simple thing as scale can have such large implications and how to be not bias in selecting scales.

What is the importance of scale in Data Visualization ?
03:08

Legends are something often overlooked. We are going to see what are legends and how to use them.

What are legends and their importance in Data Visualization ?
01:25

For high-dimensional data, we need to understand the advance chart types like box plot, heatmaps, graphs, flow diagram, etc, and see examples of them of how they are used.

What to do for high-dimensional data ?
05:32

Q&A
5 questions
+
Starting your design for Data Visualization
2 Lectures 07:33

When it comes to start the work in data visualization, creative people fall in the trap of going for perfection and somehow starting the work becomes very difficult.

in this lecture, we are going to understand what techniques can be used for that.

Why starting a creative Data Visualization is a difficult task ?
05:04

Storytelling is the key to great visualization, where you immerse the users in a story where they can get the point more effectively and remember it longer.

In this lecture, we are going to show how to use this techniques in your data visualization.

What is the importance of telling a story in Data Visualization ?
02:29
+
Working with customers
1 Lecture 04:54

Customers are key to the businesses.

In this lecture, we are going to show you the steps to deliver a successful data visualization project.

How to handling customers in a Data Visualization project
04:54
+
Technology involved in Data Visualization
2 Lectures 06:09

In this lecture, we are going to see what are the factors that we need to consider before selecting a technology for our data visualization.

Which technology to choose in Data Visualization ?
03:32

At the end of this lecture, we are going to see the technological choices available to us and when to select each of them.

What are the different technologies available for me to select from ?
02:37

Q&A
3 questions
+
Summary of the course
1 Lecture 02:30
Summary
02:30
1 More Section
About the Instructor
UI5 Community Network
4.1 Average rating
1,154 Reviews
19,883 Students
8 Courses
Experts in Services, Consulting and Education

30+ Years of combined experience in Services, Consulting and Education. With more than a decade of experience in enhancing and implementing cutting edge technology for major European industries, some of them includes big Fortune 500 names.

Deep knowledge on the functional side, as well, in Logistics, PLM, SRM Procurement, Supply Chain and Plant Maintenance.

We work extensively in SAP® UI5 and Fiori with SAP® and non SAP® ERPs and also have a complete understanding and first hand working experience with SAP® HANA and the new UI.

We believe that sharing makes the World a better place.

CTO at UI5CN Ajay Nayak
4.1 Average rating
899 Reviews
13,619 Students
6 Courses

Tell me and I forget, teach me and I may remember, involve me and I learn.” 

-Benjamin Franklin

I am a passionate technology enthusiast, always learning new things and like to building stuff which impact people's life and help them.After working in the corporate setup as a consultant, architect and external contractor for Capgemini®, SAP®, Skybuffer and Statoil®.I started my own venture UI5CN with my friends.

We at UI5CN, create software and training materials which help people learn these new upcoming technologies and help our customer to leverage maximum benefits out of it.

We are more aligned to enterprise software UX design and development, IoT and front-end design and development.