Introduction to Data Visualization

Name: Introduction to Data Visualization
Rating: 4.4 (958 reviews)

Learn why, what, how about data visualization in simple and easy way

Last updated 11/2016

English

What you'll learn

11 sections • 27 lectures • 1h 35m total length

Why is Data so important ?3:09
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 do we need Multimedia to make sense of data ?2:17
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.
What do you mean by Data Visualization ?3:49
In this lecture, we are going to know what actually means to visualize data.
What is DIKW and why is it important in Data Visualization ?3:37
In this lecture, we are going to see what is DIKW Hierarchy and how it is applied to real world problems.

Why is UX so important in Data Visualization ?3:11
In this lecture, we are going to understand the implications of good UX and bad UX in data visualization.
Give me some keypoints to remember for Data Visualization3:35
We are going to understand the key points which a Data Visualization designer should consider before creating a design.
Can you tell me more about UX ?3:33
In this lecture, we will go through the timeless UX principles which can be used in a Data Visualization design, website or mobile App.

What are the challenges in Data Visualization ?3:08
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 goals of Data Visualization ?4:00
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 is the theory behind world class Data Visualization ?3:06
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.
How to use this theory into real life Data Visualization ?7:49
In this lecture, we are going to show you, with examples, how these differentiation points are implemented in data visualization.
Q&A

How to show differentiation in Data Visualization ?2:38
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 ? Give me some examples.5:17
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 ? Key points.2:14
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.

What chart types to use and when ? Bar chart, Line chart, Timeline, Area chart6:13
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 ? Scatter plot and Bubble chart.2:14
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 ? Pie chart.2:33
Finally, we are going to understand the pie chart and see when to use it and when not to use it.
What is the importance of scale in Data Visualization ?3:08
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 are legends and their importance in Data Visualization ?1:25
Legends are something often overlooked. We are going to see what are legends and how to use them.
What to do for high-dimensional data ?5:32
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.
Q&A

Why starting a creative Data Visualization is a difficult task ?5:04
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.
What is the importance of telling a story in Data Visualization ?2:29
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.

Having a basic understanding about terminologies used in web technologies and design.

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.