Learn Data Visualization and Become Data Analyst

In this lecture, we will see how data visualization can be both an art and a science and how are we going to learn that with our course.

In this lecture, we are going to examine how to set the right purpose statement for your data visualization project and its importance.

In this lecture, we are going to get a glimpse of the 7 steps of data visualization:

• Acquire
• Parse
• Filter
• Mine
• Represent
• Refine and 
• Interact

In this lecture, we will see what are the different types of visualization based upon its purpose statement and the characteristics of these different types.

In this lecture, we will see how two or more types can be present in a visualization and what to do in those cases.

We will also see why to give maximum attention to data and not to the representation or design itself.

In this lecture, we are going to set the purpose statement for our visualization use-case and understand what we are going to do in our sample use-case project.

In this lecture, we are going to see how we acquire data for our use-case; we are going to see what are the data format we need to deal with and the complexity involved with them.

Some of the data format like .xls, .csv, .JSON, .xml etc. are among the top popular data representation formats.

In this lecture, we are going to define a basic structure to our data so we can operate on it.

In this lecture, we are going to add some basic boundary conditions to our requirements and understand how data filtering, in real projects, is done and its importance.

In this lecture, we will understand why many times finding patterns among data points are required. According to our purpose statement, we will come to understand the importance of mining and creation of new data set with the existing data set.

In this lecture, we will start mapping data to our design with moqups wireframing tool and see how to do it the right way.

In this lecture, we will work to improve our basic representation and see what are the points to look while improving the design.

In this lecture, we will add interactivity and animation to our design. In Represent, refine and adding interactivity, we define our UX for visualization, we will see how this iterative process is performed and what are the keys points to create a good design.

In this lecture, we will look at what are D3 libraries and why we selected them for our project. We will also get a basic idea about when to go with D3 or other technology for implementation.

In this lecture, we will look how the output of the visualization looks like when we run that in our web browser.

Before going into technical details we see here how we approached the problem and what are the individual parts of the solution.

In this lecture, we are going to do a code walk through session for our solution. Understanding code walk through would not be difficult even if you have no experience with D3.

Summary of the entire course.

Your instructor Ajay Nayak is CTO of UI5CN.

About Ajay:

"Ajay is very passionate and enthusiastic about technology and teaching online. From a very small age he started coding. Before working with UI5CN, he had worked with many big names like Capgemini®, Statoil®, SAP® and Skybuffer in wide range of portfolios. "

About UI5CN

UI5CN platform is a learning platform for technical and tech-design related video courses and online coding exercises to help student master new and upcoming technical skills most fast and simple way.