Learn Data Visualization and Become Data Analyst

Learn art and science of data visualization in 7 simple steps with real world examples.
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  • Lectures 21
  • Length 1.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 2/2016 English

Course Description

Decision makers who run our world and corporations use data effectively, to give them clarity to take relevant and fast decisions.

Data is considered to be the new currency and in order to use it properly, we need to know how to visualize it effectively.Great visualization is difficult because they consist of a good mix of science and art.

  • In this course, you will learn the process of data visualization in simple and effective 7-step approach.
  • You will understand how to start a visualization project on a right note.
  • You will be able to categorize and characterize types of visualization to simplify decision-making steps in the process.
  • You will see in details, how to work with a real world visualization usecase.
  • You will learn how to have an UX-centric approach in the design phase of data visualization.
  • You will learn how to use wireframing tools to build your data visualization design for the usecase.
  • And finally, you will come to know how to use D3 to bring design to real life.

What are the requirements?

  • Basic understanding about data and analytics terminology.

What am I going to get from this course?

  • Learn the art and science of data visualization in 2 hrs or money back !
  • Learn the process of data visualization with real world usecase.
  • Learn and get ready to work on data visualization and analytics project.
  • Learn how to build UX centric design for data visualization using wireframing tools.
  • Learn how to characterise data visualization according to outcome.
  • Learn how bring your visualization design to real life using D3.

Who is the target audience?

  • You should take this course if you want to work on data visualization projects.
  • You should take this course if you want to work as a project manager in data visualization project .
  • You should take this course if you want to work as a business analyst or stakeholders in data visualization project .
  • You should take this course if want to develop an analytics application for your business.
  • You should take this course if you are an IT/Computer Science Graduate Students and University Students.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction

In this section, we will learn why one should learn data visualization techniques and what they will get from the course. Also if they are a beginner to this topic, how they can get started.

Section 2: Starting Data Visualization With Right Note

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
Section 3: Types of Data Visualization

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.

Starting your data visualization project
3 questions
Section 4: 7 Steps of Data Visualization

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.

7 Steps of data visualization
5 questions
Section 5: Implementing the 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.

How to learn D3JS

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.

Section 6: About UI5CN and Your Instructor

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.

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Instructor Biography

UI5 Community Network, 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.

Instructor Biography

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.

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